Instructions to use smeby/google-gemma-2b-1727326660 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smeby/google-gemma-2b-1727326660 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "smeby/google-gemma-2b-1727326660") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9456880fb8ee0443b7ffa81e62698725c1ff4ca80dff2d95fc7de43a251272a
- Size of remote file:
- 5.37 kB
- SHA256:
- ad3e7f1f3e14e71c6735a7f7991b8f9f146d46643da77e2ef90857c4e18de19b
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