Instructions to use ADHIZ/textfusiontrainingsfusionsaaavvvaaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ADHIZ/textfusiontrainingsfusionsaaavvvaaaa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "ADHIZ/textfusiontrainingsfusionsaaavvvaaaa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b941017fd2c2a95b7a45766f996fdd54cc5eaac82c848e374e3f738999d32856
- Size of remote file:
- 2.47 kB
- SHA256:
- 4ee5e28efa1ced28d5304a49f86bcc19caf27ac578f622781f65d901c6ecad0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.