Instructions to use dada22231/efff56fb-9b30-4585-9e20-69a3a59dd064 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/efff56fb-9b30-4585-9e20-69a3a59dd064 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B") model = PeftModel.from_pretrained(base_model, "dada22231/efff56fb-9b30-4585-9e20-69a3a59dd064") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2908e9c7aabfc286e38c14ce06d58dd730b42ff89a78f9101dc11dbe1f474df8
- Size of remote file:
- 6.84 kB
- SHA256:
- dd66df3f855d5761c2230f1edf7b42bb409ee7b991226df536c2956716b20626
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.