Instructions to use Robzy/lora_model_CodeData with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robzy/lora_model_CodeData with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Robzy/lora_model_CodeData", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from Robzy/lora_model_CodeData: direct link, hf CLI and curl.
- Browser
- Download file 45.1 MB
-
https://huggingface.co/Robzy/lora_model_CodeData/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Robzy/lora_model_CodeData/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Robzy/lora_model_CodeData/resolve/main/adapter_model.safetensors
45.1 MB
- Xet hash:
- 017c1293c51ec62f30f1a49b6b733cfdc940d280fbf55e95c1f4e4c362032f50
- Size of remote file:
- 45.1 MB
- SHA256:
- 68327e6ba8608dac34ed3fcd63fd52b21c29e3a20ca6a35cf3074e9b4ad5b78f
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