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
Upade pytorch_model.bin π
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by barthfab - opened
- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5c76fa6a9d0504f514bfd45224489cac19e32e7df19f57cd1be771f548c3dec
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size 433067437
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