Instructions to use emilyalsentzer/Bio_ClinicalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilyalsentzer/Bio_ClinicalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="emilyalsentzer/Bio_ClinicalBERT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emilyalsentzer/Bio_ClinicalBERT", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
9b5e038
1
Parent(s): 41943bf
Add TF weights (#4)
Browse files- Add TF weights (6394b15e0f5a7ac38aeab7d5baf7327f4118d425)
Co-authored-by: Matthew Carrigan <Rocketknight1@users.noreply.huggingface.co>
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:28a06cf7d31bf659ed8eddf6f77394306a1e0a075c3ee827debaa1004b6579ec
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size 526681584
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