Instructions to use Robzy/lora_model_CodeData2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robzy/lora_model_CodeData2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Robzy/lora_model_CodeData2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from Robzy/lora_model_CodeData2: direct link, hf CLI and curl.
- Browser
- Download file 45.1 MB
-
https://huggingface.co/Robzy/lora_model_CodeData2/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Robzy/lora_model_CodeData2/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Robzy/lora_model_CodeData2/resolve/main/adapter_model.safetensors
45.1 MB
- Xet hash:
- f2481a36016f0dbf8f5813652368d9f61fecf5b98cca7dee2016c9b07e5c5bf8
- Size of remote file:
- 45.1 MB
- SHA256:
- 3abbaf3f4d8eb96e34a3b83c54030577bb5f539a1a4b7b2840abbfb86869bd39
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