Instructions to use AlanFeder/lora-out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlanFeder/lora-out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "AlanFeder/lora-out") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from AlanFeder/lora-out: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/AlanFeder/lora-out/resolve/main/adapter_model.bin
- Command line
-
hf download hf://AlanFeder/lora-out/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/AlanFeder/lora-out/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- 183a1e82cef3e01edeec7c21b46cc28368b226dfb72ba9c585f4901d7ef6fcc1
- Size of remote file:
- 336 MB
- SHA256:
- ccf650efcc364bac1fc07dbbfa18aab465943396860ab225491db6b4006e5f9b
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