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
Add exported openvino model 'openvino_model_qint8_quantized.xml'
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by ArthurGprog - opened
openvino/openvino_model_qint8_quantized.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d7c96dd67ba8959c04494021aece60912bdb3c1e62a70cefbe47bf22f469016
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size 108796408
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openvino/openvino_model_qint8_quantized.xml
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