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:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-FNet") model = AutoModelForMultipleChoice.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-FNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 634c3dd1758f92ac19a29bef90e532fcc03a781df6906f9d75070bf1adbf1209
- Size of remote file:
- 4.98 kB
- SHA256:
- 8510437b23f7cb060151cc0cb51e80b4e9b8a930278ff6188bd1dd6c2577f05a
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