Instructions to use ltg/bnc-bert-span-document with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/bnc-bert-span-document with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/bnc-bert-span-document")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ltg/bnc-bert-span-document", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9418c439ee098202715eb3e19c2b16a9ca6d6aea0304758241c1e298e820bab9
- Size of remote file:
- 418 MB
- SHA256:
- 1c2992b9477f7375464f9ce212e96d52cbd2a2228b72c68ea7f199e92130ee9f
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