Instructions to use JKilpatrick/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JKilpatrick/llama381binstruct_summarize_short with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JKilpatrick/llama381binstruct_summarize_short", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf7d9bae43cd5f6ec7f12e8f0dc69a47c3d01782c1da25560e0a435310c89492
- Size of remote file:
- 5.62 kB
- SHA256:
- ee77a671a9673d65d90f492135a0bffc87228720cce1637269443d6213264ec4
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