Instructions to use samoline/654dc279-936a-41d5-85a9-7be2612edd80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samoline/654dc279-936a-41d5-85a9-7be2612edd80 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "samoline/654dc279-936a-41d5-85a9-7be2612edd80") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from samoline/654dc279-936a-41d5-85a9-7be2612edd80: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/samoline/654dc279-936a-41d5-85a9-7be2612edd80/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://samoline/654dc279-936a-41d5-85a9-7be2612edd80/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/samoline/654dc279-936a-41d5-85a9-7be2612edd80/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 6ff7766a76d78d6fd6520c9b9966db8b2d088ccadecbcba38f1012e522f74789
- Size of remote file:
- 14.2 kB
- SHA256:
- 438f17bc389f89af229dc2d00c787a891b084f0dcd2b5cc9a5984881598afc94
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