Instructions to use VTaPo/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VTaPo/my_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VTaPo/my_model") model = AutoModelForMultipleChoice.from_pretrained("VTaPo/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VTaPo/my_model: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/VTaPo/my_model/resolve/main/training_args.bin
- Command line
-
hf download hf://VTaPo/my_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VTaPo/my_model/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- f08ef15adc9cb032c53847b0c56ab74818e87db3c25270f82ee22e2b4ee76245
- Size of remote file:
- 4.54 kB
- SHA256:
- 497deb2804b14980e956e009244c0ab4db876736834c0bc87208f0feac397d2c
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