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:
- ca0fdc1b7a53029c29919a5e55eccdd11e8e54b28e65b4a53edf9b3c6ef82a84
- Size of remote file:
- 168 MB
- SHA256:
- a0a2bb1b7334bf1048a2bca9b6df8add72621d7db6c1aeb1728fdc3022033132
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