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
Adding `safetensors` variant of this model
#20 opened almost 3 years ago
by
SFconvertbot
Delete old model
#16 opened over 3 years ago
by
barthfab
Delete 🧨 pytorch_model.bin
#13 opened almost 4 years ago
by
barthfab
Delete 🧨 pytorch_model.bin
#12 opened almost 4 years ago
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barthfab
update new pytorch_model.bin
#11 opened almost 4 years ago
by
barthfab