Instructions to use hoganpham/my_first_multiplechoice_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoganpham/my_first_multiplechoice_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hoganpham/my_first_multiplechoice_model") model = AutoModelForMultipleChoice.from_pretrained("hoganpham/my_first_multiplechoice_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hoganpham/my_first_multiplechoice_model: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/hoganpham/my_first_multiplechoice_model/resolve/main/training_args.bin
- Command line
-
hf download hf://hoganpham/my_first_multiplechoice_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hoganpham/my_first_multiplechoice_model/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 02a3bed56f0b38b1dff67f29ea43406e93e965923b0d362fda77f4d3b4d082a3
- Size of remote file:
- 5.24 kB
- SHA256:
- d273a4e89fac776f5a5d50d3c9bca756317401da785fb19daf90a682e4231cb9
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