Instructions to use Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6: direct link, hf CLI and curl.
- Browser
- Download file 9.92 MB
-
https://huggingface.co/Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6/resolve/9b68ec469f3b42dd0e4bb2a55fcaaa8b3e0df7e3/adapter_model.bin
- Command line
-
hf download hf://Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6@9b68ec469f3b42dd0e4bb2a55fcaaa8b3e0df7e3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6/resolve/9b68ec469f3b42dd0e4bb2a55fcaaa8b3e0df7e3/adapter_model.bin
9.92 MB
- Xet hash:
- d00b17e5d23bc04f6950d89d54dd26022c1c64148b67192d980af8adf242824b
- Size of remote file:
- 9.92 MB
- SHA256:
- e302d224e99e362e76267713f0830bc96f023c25be1dbf764fd13e1f1ba2b475
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