Instructions to use franos/wonety-invoice-extractor-BIOES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use franos/wonety-invoice-extractor-BIOES with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="franos/wonety-invoice-extractor-BIOES")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("franos/wonety-invoice-extractor-BIOES") model = AutoModelForTokenClassification.from_pretrained("franos/wonety-invoice-extractor-BIOES", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from franos/wonety-invoice-extractor-BIOES: direct link, hf CLI and curl.
- Browser
- Download file 754 Bytes
-
https://huggingface.co/franos/wonety-invoice-extractor-BIOES/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://franos/wonety-invoice-extractor-BIOES/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/franos/wonety-invoice-extractor-BIOES/resolve/main/preprocessor_config.json
754 Bytes
| { | |
| "_valid_processor_keys": [ | |
| "images", | |
| "do_resize", | |
| "size", | |
| "resample", | |
| "do_rescale", | |
| "rescale_factor", | |
| "do_normalize", | |
| "image_mean", | |
| "image_std", | |
| "apply_ocr", | |
| "ocr_lang", | |
| "tesseract_config", | |
| "return_tensors", | |
| "data_format", | |
| "input_data_format" | |
| ], | |
| "apply_ocr": false, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "LayoutLMv3ImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "ocr_lang": null, | |
| "processor_class": "LayoutLMv3Processor", | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "tesseract_config": "" | |
| } | |