Instructions to use BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer") model = AutoModelForMultipleChoice.from_pretrained("BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer/resolve/main/training_args.bin
- Command line
-
hf download hf://BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BenjaminTT/NLPGroupProject-Finetune-Funnel-Transformer/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- d976edc5b94e30a2b32dcabf27383b35f9e22ce1be099ac28deff3991cf6efde
- Size of remote file:
- 5.05 kB
- SHA256:
- f8c0866477666e334770cb9bdf95668105c9c0711d0dbf5b0128c1eaf53fb14f
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