Instructions to use tsantos/PathologyBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tsantos/PathologyBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tsantos/PathologyBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tsantos/PathologyBERT") model = AutoModelForMaskedLM.from_pretrained("tsantos/PathologyBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61dc8a57a58000faf128f7b9b37c937ebab095b2229a42725c7e97dbcb4174bf
- Size of remote file:
- 384 MB
- SHA256:
- a972d4bb8ba34c386f911b4ab15b3756a6270e54d1afa3f0f09d90d830b7e005
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