Instructions to use valoomba/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use valoomba/lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "valoomba/lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from valoomba/lora: direct link, hf CLI and curl.
- Browser
- Download file 537 MB
-
https://huggingface.co/valoomba/lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://valoomba/lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/valoomba/lora/resolve/main/adapter_model.safetensors
537 MB
- Xet hash:
- 45497f9f04b41fdc11ef20b6d9da308b1ae7c42a6051254c72d6d0eb5bb27904
- Size of remote file:
- 537 MB
- SHA256:
- 21ba522228845174d32cacd7669d20a73f3023311098562af2f92c68ec74141f
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