Instructions to use ftnext/gemma-2b-peft-tutorial-english-quotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ftnext/gemma-2b-peft-tutorial-english-quotes with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "ftnext/gemma-2b-peft-tutorial-english-quotes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2b626f7fce6d3582facdb4fd5149d3f72c5a5f1358cf71879c49e0845880fda
- Size of remote file:
- 39.3 MB
- SHA256:
- 3f7742a593eada766213a046cb3d90a1901246081879499a2f8e4d5257cef488
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