Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
hospital
clinical
biobert
clinicalBERT
bioBERT
clinical notes
Instructions to use nazyrova/clinicalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nazyrova/clinicalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nazyrova/clinicalBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nazyrova/clinicalBERT") model = AutoModelForMaskedLM.from_pretrained("nazyrova/clinicalBERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb37fcf850bb86a7ac4f8e40d89bf1eb35917c3b7c3ff580a092dcf15e56aaf0
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size 442627352
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