Instructions to use kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_1.pth from kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c/resolve/main/last-checkpoint/rng_state_1.pth
- Command line
-
hf download hf://kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c/last-checkpoint/rng_state_1.pth
-
curl -L -o rng_state_1.pth https://huggingface.co/kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c/resolve/main/last-checkpoint/rng_state_1.pth
14.5 kB
- Xet hash:
- ac0d6dd15c637c29906d2185fc5a59c52a8bbdf2a018b1686af1a1a0742a51a7
- Size of remote file:
- 14.5 kB
- SHA256:
- d27942c6270c04f832a607b6c07e14f4fe411c0ad6212a4f1bafc74f8c6ba806
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