Instructions to use medimed/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medimed/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("medimed/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from medimed/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 80.8 MB
-
https://huggingface.co/medimed/lora_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://medimed/lora_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/medimed/lora_model/resolve/main/adapter_model.safetensors
80.8 MB
- Xet hash:
- 2a92143e7c88df15d0e39e26f3364bce152ded894ffe8b886ecfed82fc64b9fa
- Size of remote file:
- 80.8 MB
- SHA256:
- 5ce585028fd214eb49cd1667108c8256fbfe793420e1e28b9869f57b48a72bda
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