Instructions to use 1-lock/9d94bc60-34ce-43f9-8b83-e855fe65505c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/9d94bc60-34ce-43f9-8b83-e855fe65505c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "1-lock/9d94bc60-34ce-43f9-8b83-e855fe65505c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 874031dfadf0b81e8dd85aee6ac99e26a8d8051ec0f9fe72d5d62501a6993b94
- Size of remote file:
- 6.84 kB
- SHA256:
- 07b4b1376f3b4f0d5ac1672ed3decaa458374614bd65c5ae5e2d02d357ef9013
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