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 adapter_model.safetensors from samoline/654dc279-936a-41d5-85a9-7be2612edd80: direct link, hf CLI and curl.
- Browser
- Download file 4.94 MB
-
https://huggingface.co/samoline/654dc279-936a-41d5-85a9-7be2612edd80/resolve/42e4e4d67d0391ce25fa9aaa0c5fd55d931f98fb/adapter_model.safetensors
- Command line
-
hf download hf://samoline/654dc279-936a-41d5-85a9-7be2612edd80@42e4e4d67d0391ce25fa9aaa0c5fd55d931f98fb/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/samoline/654dc279-936a-41d5-85a9-7be2612edd80/resolve/42e4e4d67d0391ce25fa9aaa0c5fd55d931f98fb/adapter_model.safetensors
4.94 MB
- Xet hash:
- ddcdf14d81c686aa7ad6a0db35809a7b8b26ec618cf09f56e50a3a22bbb86249
- Size of remote file:
- 4.94 MB
- SHA256:
- 3f7a340e1dd0a0ebe548b6fc643330498720d8d92aed8d4cf853ad743e2e4431
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