Instructions to use ahsbdcpu/google-gemma-2b-1724660708 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-2b-1724660708 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "ahsbdcpu/google-gemma-2b-1724660708") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7406eaa22d39117d165c412ac458ddaf50247339b3782d1746f0868d6c3bbf9
- Size of remote file:
- 5.37 kB
- SHA256:
- 0aea9b706acae2a0acf67818092e7916000b0ca017f5b7a5c18c0e5cc9ec94c3
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