Instructions to use BenjaminTT/NLPGroupProject-Finetune-BioBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminTT/NLPGroupProject-Finetune-BioBert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-BioBert") model = AutoModelForMultipleChoice.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-BioBert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26fd11f72d0f8f0d85f68457fdc71aee019cb203f3fbcc1d36c7348003fa48cf
- Size of remote file:
- 4.98 kB
- SHA256:
- deaf84fd2ca5eb06ae30313a536d336e208f81941437818e7ffa6a91a106cf8f
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