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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anyforge/anyparse-models-hub", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_paddleocr_vl.PaddleOCRVLImageProcessor", | |
| "AutoProcessor": "processing_paddleocr_vl.PaddleOCRVLProcessor" | |
| }, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "PaddleOCRVLImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_pixels": 1003520, | |
| "merge_size": 2, | |
| "min_pixels": 112896, | |
| "patch_size": 14, | |
| "processor_class": "PaddleOCRVLProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "temporal_patch_size": 1 | |
| } | |