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 checkpoint-30/optimizer.pt from AlanFeder/lora-out: direct link, hf CLI and curl.
- Browser
- Download file 169 MB
-
https://huggingface.co/AlanFeder/lora-out/resolve/main/checkpoint-30/optimizer.pt
- Command line
-
hf download hf://AlanFeder/lora-out/checkpoint-30/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AlanFeder/lora-out/resolve/main/checkpoint-30/optimizer.pt
169 MB
- Xet hash:
- 724eb2010b5053fc437f8aa4accb6baca07cff1277abe0d35641ccefc5ad627b
- Size of remote file:
- 169 MB
- SHA256:
- 48036a6aa2974e766d06dda205ffd6152c54a5bb177249b33e1d29511aa9c600
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