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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-BioBert") model = AutoModelForMultipleChoice.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-BioBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BenjaminTT/NLPGroupProject-Finetune-BioBert: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/BenjaminTT/NLPGroupProject-Finetune-BioBert/resolve/main/tokenizer.json
- Command line
-
hf download hf://BenjaminTT/NLPGroupProject-Finetune-BioBert/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BenjaminTT/NLPGroupProject-Finetune-BioBert/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.