Instructions to use cimol/f21f24f1-b8c2-46ce-9a31-11bddc2991b9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/f21f24f1-b8c2-46ce-9a31-11bddc2991b9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B") model = PeftModel.from_pretrained(base_model, "cimol/f21f24f1-b8c2-46ce-9a31-11bddc2991b9") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from cimol/f21f24f1-b8c2-46ce-9a31-11bddc2991b9: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/cimol/f21f24f1-b8c2-46ce-9a31-11bddc2991b9/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://cimol/f21f24f1-b8c2-46ce-9a31-11bddc2991b9/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/cimol/f21f24f1-b8c2-46ce-9a31-11bddc2991b9/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- b84f68a44321525de9c6999b7fd1e3f89ad2a877f451c6b157e66e8740d6a375
- Size of remote file:
- 14.2 kB
- SHA256:
- 7a128579f067900fad872bcb8986b893c559c33deb2e094b07e965a7f9f5b873
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