Instructions to use linagora/Labess-7b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linagora/Labess-7b-chat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("linagora/Labess-7b-chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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```
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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## Acknowledgements
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Training of **Labess-7b-chat** was made possible by computing AI and storage resources by GENCI at IDRIS thanks to the grant 2024-AD011014561 on the supercomputer Jean Zay’s A100 partition.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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