Instructions to use BenjaminTT/NLPGroupProject-Finetune-FNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminTT/NLPGroupProject-Finetune-FNet with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-FNet") model = AutoModelForMultipleChoice.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-FNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature5448097 -
Training in progress, step 5500
Verified signaturecf008f3 -
Training in progress, step 4500
Verified signature2ea3291 -
Training in progress, step 3500
Verified signature0a8cfcb -
Training in progress, step 2500
Verified signatureecdb3f3 -
Training in progress, step 1500
Verified signatureba1ab6c -
Training in progress, step 500
Verified signaturee7cd8f3 -
initial commit
Verified signaturee10c1b8