Instructions to use beshard/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beshard/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beshard/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from beshard/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/beshard/lora_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://beshard/lora_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/beshard/lora_model/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- e668d53596c10ce4b67175626b0a31087f786d8aba2c4c2a8f6de8f8523184a0
- Size of remote file:
- 168 MB
- SHA256:
- 2dfbad194b0d73fcd6fad7921df8521d4064030cb0180877a92ede8de559edf7
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