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
Update Pytroch_model.bin with optimized hyperparameters
#19
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 sha256:608391b9fcd148082b3369ae498456f10b7940dc8897fbdd9b9aeb505229c226
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size 433054317
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