Instructions to use demohong/016f651a-de36-4408-a1be-d03570f491e6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/016f651a-de36-4408-a1be-d03570f491e6 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, "demohong/016f651a-de36-4408-a1be-d03570f491e6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa218667dcf7d0bae2b3bbaa607142841508a542215fe873e1e3c7cafc6821fd
- Size of remote file:
- 80.9 MB
- SHA256:
- 9de61fbe4903d16578b37d8501f793a8e51cf28e751c64a62299f28f4ccec05a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.