Instructions to use romainnn/94679a9d-90b1-42b3-a061-bd9db86c3926 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romainnn/94679a9d-90b1-42b3-a061-bd9db86c3926 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "romainnn/94679a9d-90b1-42b3-a061-bd9db86c3926") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 992d5934b65bcf5634e5881f027e6485555ecc7c6bd9c2cda8f6dad34d96276d
- Size of remote file:
- 479 MB
- SHA256:
- b67d58e200dce5b005f374687476367241571a30d2b0df53a75650e051f9ed87
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