Instructions to use sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_3.pth from sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb/resolve/main/last-checkpoint/rng_state_3.pth
- Command line
-
hf download hf://sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb/last-checkpoint/rng_state_3.pth
-
curl -L -o rng_state_3.pth https://huggingface.co/sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb/resolve/main/last-checkpoint/rng_state_3.pth
15 kB
- Xet hash:
- 6a6eae436345b773083b215127388cdf8a35e30f931cb9b1a384157660edff94
- Size of remote file:
- 15 kB
- SHA256:
- 3bfe0cc9a3067931ade871d6a979118817df6423b453154a6a43b98e69f98008
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