Instructions to use DataSeer/reasoning-summarization-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataSeer/reasoning-summarization-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DataSeer/reasoning-summarization-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1271734033d41c996efa3a2ec344b2525765a2ccde01e30017f7d6294212915
- Size of remote file:
- 5.94 kB
- SHA256:
- a473831d119ce84f16015329d36abab818796678b99ae9be36d84a67e4e4b274
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