Instructions to use kanzaa/EngSaf_Meta-Llama-3-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kanzaa/EngSaf_Meta-Llama-3-8B-Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kanzaa/EngSaf_Meta-Llama-3-8B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d9976919d1ede91f4b4831b07702c9b0c03d6581fee0fe7931e3d680a139164
- Size of remote file:
- 17.2 MB
- SHA256:
- 448834a296c062f2e31d462d7ec49c28a76ce2159f927bd15cdd36470a01bccc
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