Instructions to use prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f6f8bd9a9edccf0e52e14b97f1a2b7150be6ea37a8d85c2fd6f1d3a1bfcfa79
- Size of remote file:
- 1.06 kB
- SHA256:
- 3f4cb172acc239bdfcb1321474587dd4513dd004b0281034cdef9d5bfde0d5ff
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