Instructions to use eeeebbb2/aae221a2-e111-4f8b-98ba-935f2b79fdfb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/aae221a2-e111-4f8b-98ba-935f2b79fdfb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/aae221a2-e111-4f8b-98ba-935f2b79fdfb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c59c0431d7871b0bb39fab75721edc75095db29c7f624f4592c518f8cd2a46bd
- Size of remote file:
- 323 MB
- SHA256:
- 703b40531e397eeb1e01f905c00344dca0cc227e90acfefd6ad3f8b18eafa770
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