Instructions to use aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33: direct link, hf CLI and curl.
- Browser
- Download file 341 MB
-
https://huggingface.co/aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33/resolve/main/last-checkpoint/optimizer.pt
341 MB
- Xet hash:
- 2c974b519800418a8b4762815dc7afae67064b2fb2c4a4ee4fcfd17ba27b0bb9
- Size of remote file:
- 341 MB
- SHA256:
- aa2d9df92b53d27a012ee071d2b7570a3d16edeb4e799e413546805adb47f3e5
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