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:
- 69769f2bb083b787c3593b998ce723b90c4c835c1b810fe1df1931ca27f7dfa8
- Size of remote file:
- 3.38 kB
- SHA256:
- 0491259429e6ea65edd8e5ad55a4e63b4978f204cf7bb8261aad89a0cea6ec62
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