Instructions to use JonusNattapong/Wilai-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonusNattapong/Wilai-Reasoning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JonusNattapong/Wilai-Reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JonusNattapong/Wilai-Reasoning: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/JonusNattapong/Wilai-Reasoning/resolve/main/training_args.bin
- Command line
-
hf download hf://JonusNattapong/Wilai-Reasoning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JonusNattapong/Wilai-Reasoning/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- f4d2b533243e968c4e967b05d0d71c03920066a2252b7505c84ac56e84cb198a
- Size of remote file:
- 5.18 kB
- SHA256:
- cdef3671defdbc009b6630ee05dda4e8849012d2427c5de7cba3c8a5cb53a31e
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