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:
- d39757d4009a5ce918db719ac4abaa55900f0f29a0ba726ee3a91d36feff3026
- Size of remote file:
- 6.84 kB
- SHA256:
- 458d6706fb63b3beca2b5ad2eb9fee3496d40565a8413f84178726782d86a7f4
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