Instructions to use tanay/layoutlm-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanay/layoutlm-fine-tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tanay/layoutlm-fine-tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tanay/layoutlm-fine-tuned") model = AutoModelForTokenClassification.from_pretrained("tanay/layoutlm-fine-tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df147da13f495a61ca1cd47f045c866bdc84681715ffddd5f8b6ec89f5a6de58
- Size of remote file:
- 451 MB
- SHA256:
- d0b3e1765e9c0733a7f1d2342518d54dfd50e95842dbc6a93d05f29004e5b024
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