Instructions to use mole-code/llama_index-codegen-2B-multi-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mole-code/llama_index-codegen-2B-multi-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mole-code/llama_index-codegen-2B-multi-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1886677f558e18911c5918be78948113dd63841bc283af174206c60ecfac4f88
- Size of remote file:
- 10.5 MB
- SHA256:
- 02481a0daf09b730e018a4365ae5450085ecf88d34a4fcba810bcd6e3a7fa023
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