Instructions to use 1-lock/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "1-lock/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5313cbd4efbb1e7ce5fe05bfae757bfe8411d59912d786181628f7bcddcebb52
- Size of remote file:
- 6.84 kB
- SHA256:
- 65397b91dcd9226c934c2eee3e1fe8d116a1341bc15c8f789bf21dd7f1c24187
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