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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f5dda673274df3d732539e8b9df911a1659180f4108c98e6fc9dc607a2b2430
- Size of remote file:
- 433 MB
- SHA256:
- 608391b9fcd148082b3369ae498456f10b7940dc8897fbdd9b9aeb505229c226
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