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:
- 451c843acc52e81cfc8c53a4447259ac0f6d45e2f71da617f0ce8f900da0a2f8
- Size of remote file:
- 14.2 kB
- SHA256:
- 3d06b862671e761d6edc600580aa7af29e9ee4b8075baec4ac513026a16f5aca
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