Instructions to use andreaslohr/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreaslohr/llama381binstruct_summarize_short with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("andreaslohr/llama381binstruct_summarize_short", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 363f4241328cc06d2fad2574b5dcf10e85d6c8118e67efd1ce3a44a413a57d61
- Size of remote file:
- 5.69 kB
- SHA256:
- 0d194af1281a39c9d5b206c2e8dc1a11b532aac062774b82c905244ae160bef2
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