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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emilyalsentzer/Bio_ClinicalBERT", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download graph.pbtxt from emilyalsentzer/Bio_ClinicalBERT: direct link, hf CLI and curl.
- Browser
- Download file 9.61 MB
-
https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT/resolve/refs%2Fpr%2F13/graph.pbtxt
- Command line
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hf download hf://emilyalsentzer/Bio_ClinicalBERT@refs/pr/13/graph.pbtxt
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curl -L -o graph.pbtxt https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT/resolve/refs%2Fpr%2F13/graph.pbtxt
9.61 MB
File too large to display, you can check the raw version instead.