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:
- 621d050270cdaffa9e5b343e6ff12427bec2717bbce959147941ed32027d290a
- Size of remote file:
- 1.58 kB
- SHA256:
- b349f9fc707569ad093fc4e5b4024e8f05fc96bcf3330a1507195abd2fedd3aa
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