Instructions to use philschmid/layoutlm-funsd-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/layoutlm-funsd-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="philschmid/layoutlm-funsd-tf")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/layoutlm-funsd-tf") model = AutoModelForTokenClassification.from_pretrained("philschmid/layoutlm-funsd-tf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 225 Bytes
2527456 | 1 2 3 4 5 6 7 8 9 10 11 | {
"apply_ocr": true,
"do_resize": true,
"feature_extractor_type": "LayoutLMv2FeatureExtractor",
"ocr_lang": null,
"processor_class": "LayoutLMv2Processor",
"resample": 2,
"size": 224,
"tesseract_config": ""
}
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