Instructions to use firejava/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use firejava/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("firejava/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from firejava/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 589 Bytes
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https://huggingface.co/firejava/lora_model/resolve/5b2ffbea0992e79f18f6d366ea8526c650691d59/README.md
- Command line
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hf download hf://firejava/lora_model@5b2ffbea0992e79f18f6d366ea8526c650691d59/README.md
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curl -L -o README.md https://huggingface.co/firejava/lora_model/resolve/5b2ffbea0992e79f18f6d366ea8526c650691d59/README.md
589 Bytes
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - mistral | |
| - trl | |
| base_model: unsloth/mistral-7b-v0.3-bnb-4bit | |
| # Uploaded model | |
| - **Developed by:** firejava | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/mistral-7b-v0.3-bnb-4bit | |
| This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |