Instructions to use bsmith3715/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bsmith3715/llama381binstruct_summarize_short with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bsmith3715/llama381binstruct_summarize_short", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7bd5f721158129aa2ae492a932824ad4c129a8b101fb7bc78ccac4afbcae691
- Size of remote file:
- 5.62 kB
- SHA256:
- 6f789e4a634e43d2aa7ce4e716d4021e73adf5a63a80665f6e81e9014d0b1d51
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