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-10/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-10/optimizer.pt
- Command line
-
hf download hf://AlanFeder/lora-out/checkpoint-10/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AlanFeder/lora-out/resolve/main/checkpoint-10/optimizer.pt
169 MB
- Xet hash:
- d41a0c83469144d0cad543286eaa4e9451030f8775d32faf3216d4a10f759541
- Size of remote file:
- 169 MB
- SHA256:
- a7c6d456c2816305b784d13fcab88a5c1e88720008093d0b26f0bf8eea25c923
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