Instructions to use medicalai/ClinicalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medicalai/ClinicalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="medicalai/ClinicalBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("medicalai/ClinicalBERT") model = AutoModelForMaskedLM.from_pretrained("medicalai/ClinicalBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93b3506e27c0763613cbcf65c0c49a4494a073e392f5a75e6f7563644283008b
- Size of remote file:
- 542 MB
- SHA256:
- bc6feaee5a8d02973e470763b95b461a517a5e8143476edef734fe7cfa20763f
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