Instructions to use barthfab/drugprot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barthfab/drugprot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="barthfab/drugprot")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("barthfab/drugprot") model = AutoModel.from_pretrained("barthfab/drugprot") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
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by barthfab - opened
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:70c1c465d7a7a2e7ddf8e2b434e068c18042a7d30fef424ba96fb3f98160e2d7
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size 433067437
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