Instructions to use nlpie/tiny-clinicalbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/tiny-clinicalbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/tiny-clinicalbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/tiny-clinicalbert") model = AutoModelForMaskedLM.from_pretrained("nlpie/tiny-clinicalbert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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 sha256:469af3d1c24c47c1b4deb7431d5b9b696bb37ab5aa349436be345a22f92605a2
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size 55627816
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