Instructions to use devkyle/base-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/base-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devkyle/base-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from devkyle/base-lora: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/devkyle/base-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://devkyle/base-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/devkyle/base-lora/resolve/main/adapter_model.safetensors
4.73 MB
- Xet hash:
- e82cfdb6625b2fa38fa03df7fff7e423f97c238f63bd9cad28e4df9bf7a69627
- Size of remote file:
- 4.73 MB
- SHA256:
- bb18df01c53489917ceb0e55b7e2a8d4a3d1099893345f14ebb3ab3af70bdf4e
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