Instructions to use gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d92824e1b473dfd1c92dd3980d4d07f328ad30153bfbc449157f011ede82dd8
- Size of remote file:
- 14.2 kB
- SHA256:
- c86f6ab54ff37ef2041b4e6013083c27741d0806c10b4a4780a829e4b39ba137
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