Instructions to use saadfr/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadfr/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("saadfr/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from saadfr/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 116 MB
-
https://huggingface.co/saadfr/lora_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://saadfr/lora_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/saadfr/lora_model/resolve/main/adapter_model.safetensors
116 MB
- Xet hash:
- ab264cf0795300bc1d8df4662515d86e8d67bb631aff949fef6217d71aa491cf
- Size of remote file:
- 116 MB
- SHA256:
- 2cdd3d16fab065af4047a8496c2ac27fe83638ffe173192980251f7db421cc88
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