Instructions to use emilyalsentzer/Bio_Discharge_Summary_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilyalsentzer/Bio_Discharge_Summary_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="emilyalsentzer/Bio_Discharge_Summary_BERT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emilyalsentzer/Bio_Discharge_Summary_BERT", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63536d91b44efcba9cb3653afb7434f86d287638b9eab06a2fd5bd7df37bf5f7
- Size of remote file:
- 436 MB
- SHA256:
- 77d2bd777e08e575b722964059305208ca8a3221f6c767e253dc3a5fd168f55d
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