Instructions to use marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef 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, "marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef/resolve/main/last-checkpoint/optimizer.pt
336 MB
- Xet hash:
- 7cdea570cfd05f096c9d3e948af339fb4c4487c243b38b78ccdfcc3e9ed9f4ef
- Size of remote file:
- 336 MB
- SHA256:
- ef33432bf727792972b0b53d236c8a17ac9e78600a0f21b64541378f9b2779b5
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