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 pytorch_model.bin from JonusNattapong/Wilai-Reasoning: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/JonusNattapong/Wilai-Reasoning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://JonusNattapong/Wilai-Reasoning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/JonusNattapong/Wilai-Reasoning/resolve/main/pytorch_model.bin
1.05 GB
- Xet hash:
- 6dac93a3983ec021afa84fef58059808c40e3fb17c7827605885b4373d24d669
- Size of remote file:
- 1.05 GB
- SHA256:
- f3b53788ed897c344b0bc046e34c98b90d6be3f9c28e91503bee55bf9a9bc584
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