Instructions to use thaffggg/8a0b9068-e316-4c03-89fe-67df30cc8003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/8a0b9068-e316-4c03-89fe-67df30cc8003 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "thaffggg/8a0b9068-e316-4c03-89fe-67df30cc8003") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c90d94b88d46340532ac8876f91ed89d2ae0caeaf94938b8566679a0adaa7528
- Size of remote file:
- 59.9 MB
- SHA256:
- d5212256b732b8e758c2accb7975ead77d49e1fabec59e553b92ae39fd308dd0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.