Instructions to use anyforge/anyparse-models-hub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyforge/anyparse-models-hub with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="anyforge/anyparse-models-hub")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anyforge/anyparse-models-hub", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download models/paddleocrv6-small/det/preprocessor_config.json from anyforge/anyparse-models-hub: direct link, hf CLI and curl.
- Browser
- Download file 838 Bytes
-
https://huggingface.co/anyforge/anyparse-models-hub/resolve/main/models/paddleocrv6-small/det/preprocessor_config.json
- Command line
-
hf download hf://anyforge/anyparse-models-hub/models/paddleocrv6-small/det/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/anyforge/anyparse-models-hub/resolve/main/models/paddleocrv6-small/det/preprocessor_config.json
838 Bytes
| { | |
| "_valid_processor_keys": [ | |
| "images", | |
| "do_resize", | |
| "size", | |
| "resample", | |
| "do_rescale", | |
| "rescale_factor", | |
| "do_normalize", | |
| "image_mean", | |
| "image_std", | |
| "return_tensors", | |
| "data_format", | |
| "input_data_format" | |
| ], | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_processor_type": "PPOCRV5ServerDetImageProcessor", | |
| "model_input_names": ["pixel_values", "original_image_size"], | |
| "image_mode": "BGR", | |
| "channel_first": false, | |
| "limit_side_len": 736, | |
| "limit_type": "min", | |
| "max_side_limit": 4000, | |
| "image_mean": [0.406, 0.456, 0.485], | |
| "image_std": [0.225, 0.224, 0.229], | |
| "rescale_factor": 0.00392156862745098, | |
| "resample": 2, | |
| "normalize_order": "hwc", | |
| "do_to_chw": true, | |
| "keep_keys": ["image", "shape", "polys", "ignore_tags"] | |
| } |