Instructions to use mlml-chip/negation_pubmedbert_sharpseed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlml-chip/negation_pubmedbert_sharpseed with Transformers:
# Load model directly from transformers import CnlpModelForClassification model = CnlpModelForClassification.from_pretrained("mlml-chip/negation_pubmedbert_sharpseed", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:17d411874e68ee4310c80d2b607b81ef7fbcac01a15bbef942cb1d2b604eb2ae
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size 435352464
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