Instructions to use dada22231/9d94bc60-34ce-43f9-8b83-e855fe65505c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/9d94bc60-34ce-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, "dada22231/9d94bc60-34ce-43f9-8b83-e855fe65505c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94c738fea56cdafd7fe3832ace1f2b1ef890b64551ef422245947090691395c0
- Size of remote file:
- 336 MB
- SHA256:
- 0e1e22a7c24473ae2ce03415b098f515aeed520202a76c93116fabb734bf0b47
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