Instructions to use eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d55348834be62a40e5601d464bff262ad7249717d892b04988992fe870dde84
- Size of remote file:
- 296 MB
- SHA256:
- ab3bcbb9ec6038367b1ea709631a09053a575952c1be07e37c59ac223fdb2341
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.