Instructions to use prxy5608/39e0b3be-d90d-4c36-a482-888a53bec889 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/39e0b3be-d90d-4c36-a482-888a53bec889 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "prxy5608/39e0b3be-d90d-4c36-a482-888a53bec889") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e688a02ada2db61ab9393518f629a7cb8b21df88255f60ad06d68d557fd99920
- Size of remote file:
- 6.84 kB
- SHA256:
- 35fddab6fcb3bba75696c7d51473c30588d1dd02d1f3042424048ca80d5d4f2b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.