Instructions to use FlamingNeuron/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlamingNeuron/llama381binstruct_summarize_short with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FlamingNeuron/llama381binstruct_summarize_short", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb29ec04bb009e08f542aeb683d1d2b2c2e73e2605fdd9d0cca1c10176ebeedd
- Size of remote file:
- 5.69 kB
- SHA256:
- cf9ff6d46096e8739e6c2af05bd3e589f5563d40a65df252cca2137f5fc2ce35
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