Instructions to use gavrilstep/729c97b5-ac2a-4654-acbb-657b4239af7e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/729c97b5-ac2a-4654-acbb-657b4239af7e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "gavrilstep/729c97b5-ac2a-4654-acbb-657b4239af7e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6615f7fbce1cbf2a7a6cda2fe90e9e81c7105caf97a0b9a55ba4d537a5bf0c97
- Size of remote file:
- 74 MB
- SHA256:
- e56e88b83daddeb27308be08bf67306afc903947ac106ad84a1042c5e3b142bc
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