Instructions to use nitinnovtech-ai-space/LlaMa_Layers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nitinnovtech-ai-space/LlaMa_Layers with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nitinnovtech-ai-space/LlaMa_Layers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 292ad1f82ebb24a74f6e2007b1e4139e23e690816246e20b7ab4e3302577ebde
- Size of remote file:
- 2.81 GB
- SHA256:
- 488eb3785cc584f99973d60824fbd5bb70c272c8c1db9fde32ad9c8a23d9a19a
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