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:
- eb2b30775dd156065295f8a78e15631da54bf2f59866ccfba0f9ef7ddcc9e136
- Size of remote file:
- 708 kB
- SHA256:
- 0f848afb4cb35389f15819aad6b9b4bb65d8b6cec9613b6145bea94b4a045ab6
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