Instructions to use nicky007/DocumentNick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicky007/DocumentNick with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nicky007/DocumentNick")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("nicky007/DocumentNick") model = AutoModelForTokenClassification.from_pretrained("nicky007/DocumentNick") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f12d3d15791c222ccada9053505aeae30b2d739f7c2f2c46e7dad29463571bab
- Size of remote file:
- 504 MB
- SHA256:
- 13dc364e344bb3dfbf75d935d5bc832333a8df6df639ba6b1d81163696cdcabe
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