Instructions to use Ugas/llama-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ugas/llama-chat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ugas/llama-chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfd91a313ec19d3681e6b63a8890f4908a53bddb371077e2185c072834d2eca6
- Size of remote file:
- 17.2 MB
- SHA256:
- 9816d43bd5347d64bccc66b7710947fb18e9818cc660215b1462061d4a44e449
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