Instructions to use bigbio/bigbio-mtl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigbio/bigbio-mtl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bigbio/bigbio-mtl")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bigbio/bigbio-mtl") model = AutoModelForTokenClassification.from_pretrained("bigbio/bigbio-mtl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b55eba5855e1751cef94f013733ff86a4849526d763170dbb0d2dbe9c9939a6c
- Size of remote file:
- 437 MB
- SHA256:
- 3204b6259927da3fb1977a07c2d62a88c4135cd67699ce001e99bacb947dd186
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