Instructions to use jodchen/llm_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jodchen/llm_lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jodchen/llm_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from jodchen/llm_lora: direct link, hf CLI and curl.
- Browser
- Download file 640 MB
-
https://huggingface.co/jodchen/llm_lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://jodchen/llm_lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/jodchen/llm_lora/resolve/main/adapter_model.bin
640 MB
- Xet hash:
- d59e2f28407cd22f12da9bedd5d5078f84cb81eaeeab4222300816b5c3621913
- Size of remote file:
- 640 MB
- SHA256:
- 5b0b385e92b206288d3030cb29a55fa51ef44397d5be0d2ee78c27f5826c56d7
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