refactor official model manager for more hosters (#4335)

* WIP: refactor official model manager for more hosters

* support modelscope & refactor ModelManager

* support aistudio

* bugfix & optimize

1. using socket instead of request
2. rename some variables
3. add logging
4. disable log of aistudio sdk

* using requests.head instead of socket

proxy is not work in socket testing

* optimize download url of bos

.precommit/check_imports.py

@@ -30,6 +30,7 @@ from setup import DEP_SPECS, REQUIRED_DEPS
 # 1. It is supported only in Python 3.10+.
 # 2. It requires the packages to be installed, but we are doing a static check.
 MOD_TO_DEP = {
+    "aistudio_sdk": "aistudio_sdk",
     "aiohttp": "aiohttp",
     "baidubce": "bce-python-sdk",
     "bs4": "beautifulsoup4",
@@ -54,6 +55,7 @@ MOD_TO_DEP = {
     "langchain_openai": "langchain-openai",
     "lxml": "lxml",
     "matplotlib": "matplotlib",
+    "modelscope": "modelscope",
     "numpy": "numpy",
     "openai": "openai",
     "cv2": "opencv-contrib-python",

paddlex/__init__.py

@@ -21,11 +21,6 @@ for mod in _SPECIAL_MODS:
     if mod in sys.modules:
         _loaded_special_mods.append(mod)
 
-from . import version
-from .inference import create_pipeline, create_predictor
-from .model import create_model
-from .modules import build_dataset_checker, build_evaluator, build_trainer
-
 
 def _initialize():
     from . import repo_apis, repo_manager
@@ -43,10 +38,17 @@ def _initialize():
         repo_manager.initialize()
 
 
+_initialize()
+
+
+from . import version
+
 __version__ = version.get_pdx_version()
 
 
-_initialize()
+from .inference import create_pipeline, create_predictor
+from .model import create_model
+from .modules import build_dataset_checker, build_evaluator, build_trainer
 
 for mod in _SPECIAL_MODS:
     if mod in sys.modules and mod not in _loaded_special_mods:

paddlex/inference/utils/official_models.py

@@ -15,359 +15,307 @@
 import os
 import shutil
 import tempfile
-from functools import lru_cache
+from abc import ABC, abstractmethod
 from pathlib import Path
 
 import huggingface_hub as hf_hub
 
 hf_hub.logging.set_verbosity_error()
 
+import modelscope
 import requests
 
+os.environ["AISTUDIO_LOG"] = "critical"
+from aistudio_sdk.snapshot_download import snapshot_download as aistudio_download
+
 from ...utils import logging
 from ...utils.cache import CACHE_DIR
 from ...utils.download import download_and_extract
 from ...utils.flags import MODEL_SOURCE
 
-OFFICIAL_MODELS = {
-    "ResNet18": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet18_infer.tar",
-    "ResNet18_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet18_vd_infer.tar",
-    "ResNet34": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet34_infer.tar",
-    "ResNet34_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet34_vd_infer.tar",
-    "ResNet50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet50_infer.tar",
-    "ResNet50_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet50_vd_infer.tar",
-    "ResNet101": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet101_infer.tar",
-    "ResNet101_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet101_vd_infer.tar",
-    "ResNet152": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet152_infer.tar",
-    "ResNet152_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet152_vd_infer.tar",
-    "ResNet200_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet200_vd_infer.tar",
-    "PP-LCNet_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x0_25_infer.tar",
-    "PP-LCNet_x0_25_textline_ori": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x0_25_textline_ori_infer.tar",
-    "PP-LCNet_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x0_35_infer.tar",
-    "PP-LCNet_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x0_5_infer.tar",
-    "PP-LCNet_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x0_75_infer.tar",
-    "PP-LCNet_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x1_0_infer.tar",
-    "PP-LCNet_x1_0_doc_ori": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x1_0_doc_ori_infer.tar",
-    "PP-LCNet_x1_0_textline_ori": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x1_0_textline_ori_infer.tar",
-    "PP-LCNet_x1_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x1_5_infer.tar",
-    "PP-LCNet_x2_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x2_5_infer.tar",
-    "PP-LCNet_x2_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x2_0_infer.tar",
-    "PP-LCNetV2_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNetV2_small_infer.tar",
-    "PP-LCNetV2_base": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNetV2_base_infer.tar",
-    "PP-LCNetV2_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNetV2_large_infer.tar",
-    "MobileNetV3_large_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_large_x0_35_infer.tar",
-    "MobileNetV3_large_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_large_x0_5_infer.tar",
-    "MobileNetV3_large_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_large_x0_75_infer.tar",
-    "MobileNetV3_large_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_large_x1_0_infer.tar",
-    "MobileNetV3_large_x1_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_large_x1_25_infer.tar",
-    "MobileNetV3_small_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_small_x0_35_infer.tar",
-    "MobileNetV3_small_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_small_x0_5_infer.tar",
-    "MobileNetV3_small_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_small_x0_75_infer.tar",
-    "MobileNetV3_small_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_small_x1_0_infer.tar",
-    "MobileNetV3_small_x1_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV3_small_x1_25_infer.tar",
-    "ConvNeXt_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ConvNeXt_tiny_infer.tar",
-    "ConvNeXt_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ConvNeXt_small_infer.tar",
-    "ConvNeXt_base_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ConvNeXt_base_224_infer.tar",
-    "ConvNeXt_base_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ConvNeXt_base_384_infer.tar",
-    "ConvNeXt_large_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ConvNeXt_large_224_infer.tar",
-    "ConvNeXt_large_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ConvNeXt_large_384_infer.tar",
-    "MobileNetV2_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV2_x0_25_infer.tar",
-    "MobileNetV2_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV2_x0_5_infer.tar",
-    "MobileNetV2_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV2_x1_0_infer.tar",
-    "MobileNetV2_x1_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV2_x1_5_infer.tar",
-    "MobileNetV2_x2_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV2_x2_0_infer.tar",
-    "MobileNetV1_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV1_x0_25_infer.tar",
-    "MobileNetV1_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV1_x0_5_infer.tar",
-    "MobileNetV1_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV1_x0_75_infer.tar",
-    "MobileNetV1_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-MobileNetV1_x1_0_infer.tar",
-    "SwinTransformer_tiny_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-SwinTransformer_tiny_patch4_window7_224_infer.tar",
-    "SwinTransformer_small_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-SwinTransformer_small_patch4_window7_224_infer.tar",
-    "SwinTransformer_base_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-SwinTransformer_base_patch4_window7_224_infer.tar",
-    "SwinTransformer_base_patch4_window12_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-SwinTransformer_base_patch4_window12_384_infer.tar",
-    "SwinTransformer_large_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-SwinTransformer_large_patch4_window7_224_infer.tar",
-    "SwinTransformer_large_patch4_window12_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-SwinTransformer_large_patch4_window12_384_infer.tar",
-    "PP-HGNet_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNet_tiny_infer.tar",
-    "PP-HGNet_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNet_small_infer.tar",
-    "PP-HGNet_base": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNet_base_infer.tar",
-    "PP-HGNetV2-B0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B0_infer.tar",
-    "PP-HGNetV2-B1": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B1_infer.tar",
-    "PP-HGNetV2-B2": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B2_infer.tar",
-    "PP-HGNetV2-B3": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B3_infer.tar",
-    "PP-HGNetV2-B4": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B4_infer.tar",
-    "PP-HGNetV2-B5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B5_infer.tar",
-    "PP-HGNetV2-B6": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B6_infer.tar",
-    "FasterNet-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/FasterNet-L_infer.tar",
-    "FasterNet-M": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/FasterNet-M_infer.tar",
-    "FasterNet-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/FasterNet-S_infer.tar",
-    "FasterNet-T0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/FasterNet-T0_infer.tar",
-    "FasterNet-T1": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/FasterNet-T1_infer.tar",
-    "FasterNet-T2": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/FasterNet-T2_infer.tar",
-    "StarNet-S1": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/StarNet-S1_infer.tar",
-    "StarNet-S2": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/StarNet-S2_infer.tar",
-    "StarNet-S3": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/StarNet-S3_infer.tar",
-    "StarNet-S4": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/StarNet-S4_infer.tar",
-    "MobileNetV4_conv_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV4_conv_small_infer.tar",
-    "MobileNetV4_conv_medium": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV4_conv_medium_infer.tar",
-    "MobileNetV4_conv_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV4_conv_large_infer.tar",
-    "MobileNetV4_hybrid_medium": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV4_hybrid_medium_infer.tar",
-    "MobileNetV4_hybrid_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileNetV4_hybrid_large_infer.tar",
-    "CLIP_vit_base_patch16_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-CLIP_vit_base_patch16_224_infer.tar",
-    "CLIP_vit_large_patch14_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-CLIP_vit_large_patch14_224_infer.tar",
-    "PP-LCNet_x1_0_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x1_0_ML_infer.tar",
-    "PP-HGNetV2-B0_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B0_ML_infer.tar",
-    "PP-HGNetV2-B4_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B4_ML_infer.tar",
-    "PP-HGNetV2-B6_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-HGNetV2-B6_ML_infer.tar",
-    "ResNet50_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet50_ML_infer.tar",
-    "CLIP_vit_base_patch16_448_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/CLIP_vit_base_patch16_448_ML_infer.tar",
-    "PP-YOLOE_plus-X": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-YOLOE_plus-X_infer.tar",
-    "PP-YOLOE_plus-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-YOLOE_plus-L_infer.tar",
-    "PP-YOLOE_plus-M": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-YOLOE_plus-M_infer.tar",
-    "PP-YOLOE_plus-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-YOLOE_plus-S_infer.tar",
-    "RT-DETR-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/RT-DETR-L_infer.tar",
-    "RT-DETR-H": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/RT-DETR-H_infer.tar",
-    "RT-DETR-X": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/RT-DETR-X_infer.tar",
-    "YOLOv3-DarkNet53": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOv3-DarkNet53_infer.tar",
-    "YOLOv3-MobileNetV3": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOv3-MobileNetV3_infer.tar",
-    "YOLOv3-ResNet50_vd_DCN": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOv3-ResNet50_vd_DCN_infer.tar",
-    "YOLOX-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOX-L_infer.tar",
-    "YOLOX-M": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOX-M_infer.tar",
-    "YOLOX-N": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOX-N_infer.tar",
-    "YOLOX-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOX-S_infer.tar",
-    "YOLOX-T": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOX-T_infer.tar",
-    "YOLOX-X": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLOX-X_infer.tar",
-    "RT-DETR-R18": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/RT-DETR-R18_infer.tar",
-    "RT-DETR-R50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/RT-DETR-R50_infer.tar",
-    "PicoDet-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PicoDet-S_infer.tar",
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-    "BlazeFace": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/BlazeFace_infer.tar",
-    "BlazeFace-FPN-SSH": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/BlazeFace-FPN-SSH_infer.tar",
-    "PP-YOLOE_plus-S_face": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-YOLOE_plus-S_face_infer.tar",
-    "MobileFaceNet": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MobileFaceNet_infer.tar",
-    "ResNet50_face": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ResNet50_face_infer.tar",
-    "PP-YOLOE-R-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-YOLOE-R-L_infer.tar",
-    "Co-Deformable-DETR-R50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/Co-Deformable-DETR-R50_infer.tar",
-    "Co-Deformable-DETR-Swin-T": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/Co-Deformable-DETR-Swin-T_infer.tar",
-    "Co-DINO-R50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/Co-DINO-R50_infer.tar",
-    "Co-DINO-Swin-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/Co-DINO-Swin-L_infer.tar",
-    "whisper_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/whisper_large.tar",
-    "whisper_base": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/whisper_base.tar",
-    "whisper_medium": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/whisper_medium.tar",
-    "whisper_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/whisper_small.tar",
-    "whisper_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/whisper_tiny.tar",
-    "PP-TSM-R50_8frames_uniform": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-TSM-R50_8frames_uniform_infer.tar",
-    "PP-TSMv2-LCNetV2_8frames_uniform": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-TSMv2-LCNetV2_8frames_uniform_infer.tar",
-    "PP-TSMv2-LCNetV2_16frames_uniform": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-TSMv2-LCNetV2_16frames_uniform_infer.tar",
-    "MaskFormer_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MaskFormer_tiny_infer.tar",
-    "MaskFormer_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/MaskFormer_small_infer.tar",
-    "PP-LCNet_x1_0_table_cls": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-LCNet_x1_0_table_cls_infer.tar",
-    "SLANeXt_wired": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/SLANeXt_wired_infer.tar",
-    "SLANeXt_wireless": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/SLANeXt_wireless_infer.tar",
-    "RT-DETR-L_wired_table_cell_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/RT-DETR-L_wired_table_cell_det_infer.tar",
-    "RT-DETR-L_wireless_table_cell_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/RT-DETR-L_wireless_table_cell_det_infer.tar",
-    "YOWO": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOWO_infer.tar",
-    "PP-TinyPose_128x96": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-TinyPose_128x96_infer.tar",
-    "PP-TinyPose_256x192": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-TinyPose_256x192_infer.tar",
-    "GroundingDINO-T": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/GroundingDINO-T_infer.tar",
-    "SAM-H_box": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/SAM-H_box_infer.tar",
-    "SAM-H_point": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/SAM-H_point_infer.tar",
-    "PP-DocLayout-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocLayout-L_infer.tar",
-    "PP-DocLayout-M": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocLayout-M_infer.tar",
-    "PP-DocLayout-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocLayout-S_infer.tar",
-    "PP-DocLayout_plus-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocLayout_plus-L_infer.tar",
-    "PP-DocBlockLayout": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBlockLayout_infer.tar",
-    "BEVFusion": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/BEVFusion_infer.tar",
-    "YOLO-Worldv2-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/YOLO-Worldv2-L_infer.tar",
-    "PP-DocBee-2B": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBee-2B_infer.tar",
-    "PP-DocBee-7B": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBee-7B_infer.tar",
-    "PP-Chart2Table": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-Chart2Table_infer.tar",
-    "PP-OCRv5_server_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-OCRv5_server_det_infer.tar",
-    "PP-OCRv5_mobile_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-OCRv5_mobile_det_infer.tar",
-    "PP-OCRv5_server_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-PP-OCRv5_server_rec_infer.tar",
-    "PP-OCRv5_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-PP-OCRv5_mobile_rec_infer.tar",
-    "eslav_PP-OCRv5_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/\
-eslav_PP-OCRv5_mobile_rec_infer.tar",
-    "PP-DocBee2-3B": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBee2-3B_infer.tar",
-    "latin_PP-OCRv5_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/latin_PP-OCRv5_mobile_rec_infer.tar",
-    "korean_PP-OCRv5_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/korean_PP-OCRv5_mobile_rec_infer.tar",
-}
-
-
-HUGGINGFACE_MODELS = [
+ALL_MODELS = [
+    "ResNet18",
+    "ResNet18_vd",
+    "ResNet34",
+    "ResNet34_vd",
+    "ResNet50",
+    "ResNet50_vd",
+    "ResNet101",
+    "ResNet101_vd",
+    "ResNet152",
+    "ResNet152_vd",
+    "ResNet200_vd",
+    "PP-LCNet_x0_25",
+    "PP-LCNet_x0_25_textline_ori",
+    "PP-LCNet_x0_35",
+    "PP-LCNet_x0_5",
+    "PP-LCNet_x0_75",
+    "PP-LCNet_x1_0",
+    "PP-LCNet_x1_0_doc_ori",
+    "PP-LCNet_x1_0_textline_ori",
+    "PP-LCNet_x1_5",
+    "PP-LCNet_x2_5",
+    "PP-LCNet_x2_0",
+    "PP-LCNetV2_small",
+    "PP-LCNetV2_base",
+    "PP-LCNetV2_large",
+    "MobileNetV3_large_x0_35",
+    "MobileNetV3_large_x0_5",
+    "MobileNetV3_large_x0_75",
+    "MobileNetV3_large_x1_0",
+    "MobileNetV3_large_x1_25",
+    "MobileNetV3_small_x0_35",
+    "MobileNetV3_small_x0_5",
+    "MobileNetV3_small_x0_75",
+    "MobileNetV3_small_x1_0",
+    "MobileNetV3_small_x1_25",
+    "ConvNeXt_tiny",
+    "ConvNeXt_small",
+    "ConvNeXt_base_224",
+    "ConvNeXt_base_384",
+    "ConvNeXt_large_224",
+    "ConvNeXt_large_384",
+    "MobileNetV2_x0_25",
+    "MobileNetV2_x0_5",
+    "MobileNetV2_x1_0",
+    "MobileNetV2_x1_5",
+    "MobileNetV2_x2_0",
+    "MobileNetV1_x0_25",
+    "MobileNetV1_x0_5",
+    "MobileNetV1_x0_75",
+    "MobileNetV1_x1_0",
+    "SwinTransformer_tiny_patch4_window7_224",
+    "SwinTransformer_small_patch4_window7_224",
+    "SwinTransformer_base_patch4_window7_224",
+    "SwinTransformer_base_patch4_window12_384",
+    "SwinTransformer_large_patch4_window7_224",
+    "SwinTransformer_large_patch4_window12_384",
+    "PP-HGNet_tiny",
+    "PP-HGNet_small",
+    "PP-HGNet_base",
+    "PP-HGNetV2-B0",
+    "PP-HGNetV2-B1",
+    "PP-HGNetV2-B2",
+    "PP-HGNetV2-B3",
+    "PP-HGNetV2-B4",
+    "PP-HGNetV2-B5",
+    "PP-HGNetV2-B6",
+    "FasterNet-L",
+    "FasterNet-M",
+    "FasterNet-S",
+    "FasterNet-T0",
+    "FasterNet-T1",
+    "FasterNet-T2",
+    "StarNet-S1",
+    "StarNet-S2",
+    "StarNet-S3",
+    "StarNet-S4",
+    "MobileNetV4_conv_small",
+    "MobileNetV4_conv_medium",
+    "MobileNetV4_conv_large",
+    "MobileNetV4_hybrid_medium",
+    "MobileNetV4_hybrid_large",
+    "CLIP_vit_base_patch16_224",
+    "CLIP_vit_large_patch14_224",
+    "PP-LCNet_x1_0_ML",
+    "PP-HGNetV2-B0_ML",
+    "PP-HGNetV2-B4_ML",
+    "PP-HGNetV2-B6_ML",
+    "ResNet50_ML",
+    "CLIP_vit_base_patch16_448_ML",
+    "PP-YOLOE_plus-X",
+    "PP-YOLOE_plus-L",
+    "PP-YOLOE_plus-M",
+    "PP-YOLOE_plus-S",
+    "RT-DETR-L",
+    "RT-DETR-H",
+    "RT-DETR-X",
+    "YOLOv3-DarkNet53",
+    "YOLOv3-MobileNetV3",
+    "YOLOv3-ResNet50_vd_DCN",
+    "YOLOX-L",
+    "YOLOX-M",
+    "YOLOX-N",
+    "YOLOX-S",
+    "YOLOX-T",
+    "YOLOX-X",
+    "RT-DETR-R18",
+    "RT-DETR-R50",
+    "PicoDet-S",
+    "PicoDet-L",
+    "Deeplabv3-R50",
+    "Deeplabv3-R101",
+    "Deeplabv3_Plus-R50",
+    "Deeplabv3_Plus-R101",
+    "PP-ShiTuV2_rec",
+    "PP-ShiTuV2_rec_CLIP_vit_base",
+    "PP-ShiTuV2_rec_CLIP_vit_large",
+    "PP-LiteSeg-T",
+    "PP-LiteSeg-B",
+    "OCRNet_HRNet-W48",
+    "OCRNet_HRNet-W18",
+    "SegFormer-B0",
+    "SegFormer-B1",
+    "SegFormer-B2",
+    "SegFormer-B3",
+    "SegFormer-B4",
+    "SegFormer-B5",
+    "SeaFormer_tiny",
+    "SeaFormer_small",
+    "SeaFormer_base",
+    "SeaFormer_large",
+    "Mask-RT-DETR-H",
+    "Mask-RT-DETR-L",
+    "PP-OCRv4_server_rec",
+    "Mask-RT-DETR-S",
+    "Mask-RT-DETR-M",
+    "Mask-RT-DETR-X",
+    "SOLOv2",
+    "MaskRCNN-ResNet50",
+    "MaskRCNN-ResNet50-FPN",
+    "MaskRCNN-ResNet50-vd-FPN",
+    "MaskRCNN-ResNet101-FPN",
+    "MaskRCNN-ResNet101-vd-FPN",
+    "MaskRCNN-ResNeXt101-vd-FPN",
+    "Cascade-MaskRCNN-ResNet50-FPN",
+    "Cascade-MaskRCNN-ResNet50-vd-SSLDv2-FPN",
+    "PP-YOLOE_seg-S",
+    "PP-OCRv3_mobile_rec",
+    "en_PP-OCRv3_mobile_rec",
+    "korean_PP-OCRv3_mobile_rec",
+    "japan_PP-OCRv3_mobile_rec",
+    "chinese_cht_PP-OCRv3_mobile_rec",
+    "te_PP-OCRv3_mobile_rec",
+    "ka_PP-OCRv3_mobile_rec",
+    "ta_PP-OCRv3_mobile_rec",
+    "latin_PP-OCRv3_mobile_rec",
+    "arabic_PP-OCRv3_mobile_rec",
+    "cyrillic_PP-OCRv3_mobile_rec",
+    "devanagari_PP-OCRv3_mobile_rec",
+    "en_PP-OCRv4_mobile_rec",
+    "PP-OCRv4_server_rec_doc",
+    "PP-OCRv4_mobile_rec",
+    "PP-OCRv4_server_det",
+    "PP-OCRv4_mobile_det",
+    "PP-OCRv3_server_det",
+    "PP-OCRv3_mobile_det",
+    "PP-OCRv4_server_seal_det",
+    "PP-OCRv4_mobile_seal_det",
+    "ch_RepSVTR_rec",
+    "ch_SVTRv2_rec",
+    "PP-LCNet_x1_0_pedestrian_attribute",
+    "PP-LCNet_x1_0_vehicle_attribute",
+    "PicoDet_layout_1x",
+    "PicoDet_layout_1x_table",
+    "SLANet",
+    "SLANet_plus",
+    "LaTeX_OCR_rec",
+    "UniMERNet",
+    "PP-FormulaNet-S",
+    "PP-FormulaNet-L",
+    "PP-FormulaNet_plus-S",
+    "PP-FormulaNet_plus-M",
+    "PP-FormulaNet_plus-L",
+    "FasterRCNN-ResNet34-FPN",
+    "FasterRCNN-ResNet50",
+    "FasterRCNN-ResNet50-FPN",
+    "FasterRCNN-ResNet50-vd-FPN",
+    "FasterRCNN-ResNet50-vd-SSLDv2-FPN",
+    "FasterRCNN-ResNet101",
+    "FasterRCNN-ResNet101-FPN",
+    "FasterRCNN-ResNeXt101-vd-FPN",
+    "FasterRCNN-Swin-Tiny-FPN",
+    "Cascade-FasterRCNN-ResNet50-FPN",
+    "Cascade-FasterRCNN-ResNet50-vd-SSLDv2-FPN",
+    "UVDoc",
+    "DLinear",
+    "NLinear",
+    "RLinear",
+    "Nonstationary",
+    "TimesNet",
+    "TiDE",
+    "PatchTST",
+    "DLinear_ad",
+    "AutoEncoder_ad",
+    "Nonstationary_ad",
+    "PatchTST_ad",
+    "TimesNet_ad",
+    "TimesNet_cls",
+    "STFPM",
+    "FCOS-ResNet50",
+    "DETR-R50",
+    "PP-YOLOE-L_vehicle",
+    "PP-YOLOE-S_vehicle",
+    "PP-ShiTuV2_det",
+    "PP-YOLOE-S_human",
+    "PP-YOLOE-L_human",
+    "PicoDet-M",
+    "PicoDet-XS",
+    "PP-YOLOE_plus_SOD-L",
+    "PP-YOLOE_plus_SOD-S",
+    "PP-YOLOE_plus_SOD-largesize-L",
+    "CenterNet-DLA-34",
+    "CenterNet-ResNet50",
+    "PicoDet-S_layout_3cls",
+    "PicoDet-S_layout_17cls",
+    "PicoDet-L_layout_3cls",
+    "PicoDet-L_layout_17cls",
+    "RT-DETR-H_layout_3cls",
+    "RT-DETR-H_layout_17cls",
+    "PicoDet_LCNet_x2_5_face",
+    "BlazeFace",
+    "BlazeFace-FPN-SSH",
+    "PP-YOLOE_plus-S_face",
+    "MobileFaceNet",
+    "ResNet50_face",
+    "PP-YOLOE-R-L",
+    "Co-Deformable-DETR-R50",
+    "Co-Deformable-DETR-Swin-T",
+    "Co-DINO-R50",
+    "Co-DINO-Swin-L",
+    "whisper_large",
+    "whisper_base",
+    "whisper_medium",
+    "whisper_small",
+    "whisper_tiny",
+    "PP-TSM-R50_8frames_uniform",
+    "PP-TSMv2-LCNetV2_8frames_uniform",
+    "PP-TSMv2-LCNetV2_16frames_uniform",
+    "MaskFormer_tiny",
+    "MaskFormer_small",
+    "PP-LCNet_x1_0_table_cls",
+    "SLANeXt_wired",
+    "SLANeXt_wireless",
+    "RT-DETR-L_wired_table_cell_det",
+    "RT-DETR-L_wireless_table_cell_det",
+    "YOWO",
+    "PP-TinyPose_128x96",
+    "PP-TinyPose_256x192",
+    "GroundingDINO-T",
+    "SAM-H_box",
+    "SAM-H_point",
+    "PP-DocLayout-L",
+    "PP-DocLayout-M",
+    "PP-DocLayout-S",
+    "PP-DocLayout_plus-L",
+    "PP-DocBlockLayout",
+    "BEVFusion",
+    "YOLO-Worldv2-L",
+    "PP-DocBee-2B",
+    "PP-DocBee-7B",
+    "PP-Chart2Table",
+    "PP-OCRv5_server_det",
+    "PP-OCRv5_mobile_det",
+    "PP-OCRv5_server_rec",
+    "PP-OCRv5_mobile_rec",
+    "eslav_PP-OCRv5_mobile_rec",
+    "PP-DocBee2-3B",
+    "latin_PP-OCRv5_mobile_rec",
+    "korean_PP-OCRv5_mobile_rec",
+]
+
+
+OCR_MODELS = [
     "arabic_PP-OCRv3_mobile_rec",
     "chinese_cht_PP-OCRv3_mobile_rec",
     "ch_RepSVTR_rec",
@@ -437,63 +385,190 @@ HUGGINGFACE_MODELS = [
 ]
 
 
-@lru_cache(1)
-def is_huggingface_accessible():
-    try:
-        response = requests.get("https://huggingface.co", timeout=1)
-        return response.ok == True
-    except requests.exceptions.RequestException as e:
-        return False
+class _BaseModelHoster(ABC):
+    alias = ""
+    model_list = []
+    healthcheck_url = None
+    _healthcheck_timeout = 1
+
+    def __init__(self, save_dir):
+        self._save_dir = save_dir
+
+    def get_model(self, model_name):
+        assert (
+            model_name in self.model_list
+        ), f"The model {model_name} is not supported on hosting {self.__class__.__name__}!"
+        model_dir = self._save_dir / f"{model_name}"
+        self._download(model_name, model_dir)
+        return model_dir
+
+    @abstractmethod
+    def _download(self):
+        raise NotImplementedError
+
+    @classmethod
+    def is_available(cls):
+        if cls.healthcheck_url is None:
+            return True
+        try:
+            response = requests.head(
+                cls.healthcheck_url, timeout=cls._healthcheck_timeout
+            )
+            return response.ok == True
+        except Exception:
+            logging.debug(f"The model hosting platform({cls.__name__}) is unreachable!")
+            return False
 
 
-class OfficialModelsDict(dict):
-    """Official Models Dict"""
+class _BosModelHoster(_BaseModelHoster):
+    model_list = ALL_MODELS
+    alias = "bos"
+    healthcheck_url = "https://paddle-model-ecology.bj.bcebos.com"
 
+    version = "paddle3.0.0"
+    base_url = (
+        "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model"
+    )
+    special_model_fn = {
+        "whisper_large": "whisper_large.tar",
+        "whisper_base": "whisper_base.tar",
+        "whisper_medium": "whisper_medium.tar",
+        "whisper_small": "whisper_small.tar",
+        "whisper_tiny": "whisper_tiny.tar",
+    }
+
+    def _download(self, model_name, save_dir):
+        if model_name in self.special_model_fn:
+            fn = self.special_model_fn[model_name]
+        else:
+            fn = f"{model_name}_infer.tar"
+        url = f"{self.base_url}/{self.version}/{fn}"
+        download_and_extract(url, save_dir.parent, model_name, overwrite=False)
+
+
+class _HuggingFaceModelHoster(_BaseModelHoster):
+    model_list = OCR_MODELS
+    alias = "huggingface"
+    healthcheck_url = "https://huggingface.co"
+
+    def _download(self, model_name, save_dir):
+        def _clone(local_dir):
+            hf_hub.snapshot_download(
+                repo_id=f"PaddlePaddle/{model_name}", local_dir=local_dir
+            )
+
+        if os.path.exists(save_dir):
+            _clone(save_dir)
+        else:
+            with tempfile.TemporaryDirectory() as td:
+                temp_dir = os.path.join(td, "temp_dir")
+                _clone(temp_dir)
+                shutil.move(temp_dir, save_dir)
+
+
+class _ModelScopeModelHoster(_BaseModelHoster):
+    model_list = OCR_MODELS
+    alias = "modelscope"
+    healthcheck_url = "https://modelscope.cn"
+
+    def _download(self, model_name, save_dir):
+        def _clone(local_dir):
+            modelscope.snapshot_download(
+                repo_id=f"PaddlePaddle/{model_name}", local_dir=local_dir
+            )
+
+        if os.path.exists(save_dir):
+            _clone(save_dir)
+        else:
+            with tempfile.TemporaryDirectory() as td:
+                temp_dir = os.path.join(td, "temp_dir")
+                _clone(temp_dir)
+                shutil.move(temp_dir, save_dir)
+
+
+class _AIStudioModelHoster(_BaseModelHoster):
+    model_list = OCR_MODELS
+    alias = "aistudio"
+    healthcheck_url = "https://aistudio.baidu.com"
+
+    def _download(self, model_name, save_dir):
+        def _clone(local_dir):
+            aistudio_download(repo_id=f"PaddleX/{model_name}", local_dir=local_dir)
+
+        if os.path.exists(save_dir):
+            _clone(save_dir)
+        else:
+            with tempfile.TemporaryDirectory() as td:
+                temp_dir = os.path.join(td, "temp_dir")
+                _clone(temp_dir)
+                shutil.move(temp_dir, save_dir)
+
+
+class _ModelManager:
+    model_list = ALL_MODELS
     _save_dir = Path(CACHE_DIR) / "official_models"
 
-    def __getitem__(self, key):
-        def _download_from_bos():
-            url = super(OfficialModelsDict, self).__getitem__(key)
-            download_and_extract(url, self._save_dir, f"{key}", overwrite=False)
-            return self._save_dir / f"{key}"
-
-        def _download_from_hf():
-            local_dir = self._save_dir / f"{key}"
-            try:
-                if os.path.exists(local_dir):
-                    hf_hub.snapshot_download(
-                        repo_id=f"PaddlePaddle/{key}", local_dir=local_dir
-                    )
-                else:
-                    with tempfile.TemporaryDirectory() as td:
-                        temp_dir = os.path.join(td, "temp_dir")
-                        hf_hub.snapshot_download(
-                            repo_id=f"PaddlePaddle/{key}", local_dir=temp_dir
-                        )
-                        shutil.move(temp_dir, local_dir)
-            except Exception as e:
-                logging.warning(
-                    f"Encounter exception when download model from huggingface: \n{e}.\nPaddleX would try to download from BOS."
-                )
-                return _download_from_bos()
-            return local_dir
+    def __init__(self) -> None:
+        self._hosters = self._build_hosters()
 
+    def _build_hosters(self):
+        hosters = []
+        for hoster_cls in [
+            _HuggingFaceModelHoster,
+            _AIStudioModelHoster,
+            _ModelScopeModelHoster,
+            _BosModelHoster,
+        ]:
+            if hoster_cls.alias == MODEL_SOURCE:
+                if hoster_cls.is_available():
+                    hosters.insert(0, hoster_cls(self._save_dir))
+            else:
+                if hoster_cls.is_available():
+                    hosters.append(hoster_cls(self._save_dir))
+        if len(hosters) == 0:
+            logging.warning(
+                f"""No model hoster is available! Please check your network connection to one of the following model hosts:
+HuggingFace ({_HuggingFaceModelHoster.healthcheck_url}),
+ModelScope ({_ModelScopeModelHoster.healthcheck_url}),
+AIStudio ({_AIStudioModelHoster.healthcheck_url}), or
+BOS ({_BosModelHoster.healthcheck_url}).
+Otherwise, only local models can be used."""
+            )
+        return hosters
+
+    def _get_model_local_path(self, model_name):
         logging.info(
-            f"Using official model ({key}), the model files will be automatically downloaded and saved in {self._save_dir}."
+            f"Using official model ({model_name}), the model files will be automatically downloaded and saved in {self._save_dir}."
         )
+        if len(self._hosters) == 0:
+            msg = "No available model hosting platforms detected. Please check your network connection."
+            logging.error(msg)
+            raise Exception(msg)
+        return self._download_from_hoster(self._hosters, model_name)
 
-        if (
-            MODEL_SOURCE.lower() == "huggingface"
-            and is_huggingface_accessible()
-            and key in HUGGINGFACE_MODELS
-        ):
-            return _download_from_hf()
-        elif MODEL_SOURCE.lower() == "modelscope":
-            raise Exception(
-                f"ModelScope is not supported! Please use `HuggingFace` or `BOS`."
-            )
-        else:
-            return _download_from_bos()
+    def _download_from_hoster(self, hosters, model_name):
+        for idx, hoster in enumerate(hosters):
+            if model_name in hoster.model_list:
+                try:
+                    return hoster.get_model(model_name)
+                except Exception as e:
+                    logging.warning(
+                        f"Encounter exception when download model from {hoster.alias}: \n{e}."
+                    )
+                    if len(hosters) <= 1:
+                        raise Exception(
+                            f"No model source is available! Please check network or use local model files!"
+                        )
+                    logging.warning(
+                        f"PaddleX would try to download from other model sources."
+                    )
+                    return self._download_from_hoster(hosters[idx + 1 :], model_name)
+
+    def __contains__(self, model_name):
+        return model_name in self.model_list
+
+    def __getitem__(self, model_name):
+        return self._get_model_local_path(model_name)
 
 
-official_models = OfficialModelsDict(OFFICIAL_MODELS)
+official_models = _ModelManager()

paddlex/utils/flags.py

@@ -61,7 +61,7 @@ ENABLE_MKLDNN_BYDEFAULT = get_flag_from_env_var(
     "PADDLE_PDX_ENABLE_MKLDNN_BYDEFAULT", True
 )
 
-MODEL_SOURCE = os.environ.get("PADDLE_PDX_MODEL_SOURCE", "huggingface")
+MODEL_SOURCE = os.environ.get("PADDLE_PDX_MODEL_SOURCE", "huggingface").lower()
 
 
 # Inference Benchmark

setup.py

@@ -22,6 +22,7 @@ from setuptools import find_packages, setup
 
 DEP_SPECS = {
     "aiohttp": ">= 3.9",
+    "aistudio_sdk": ">=0.3.5",
     "bce-python-sdk": ">= 0.9",
     "beautifulsoup4": "",
     "chardet": "",
@@ -45,6 +46,7 @@ DEP_SPECS = {
     "langchain-openai": ">= 0.1",
     "lxml": "",
     "matplotlib": "",
+    "modelscope": ">=1.28.0",
     "numpy": ">= 1.24",
     "openai": ">= 1.63",
     "opencv-contrib-python": "== 4.10.0.84",
@@ -78,10 +80,12 @@ DEP_SPECS = {
 }
 
 REQUIRED_DEPS = [
+    "aistudio_sdk",
     "chardet",
     "colorlog",
     "filelock",
     "huggingface_hub",
+    "modelscope",
     "numpy",
     "packaging",
     # Currently it is not easy to make `pandas` optional