Instructions to use dplus02/task-13-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dplus02/task-13-google-gemma-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "dplus02/task-13-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46ad440230f889cf66ad1f55bb24be92f015ee063c9bdf9355396382bfd86d91
- Size of remote file:
- 5.37 kB
- SHA256:
- 8420ebbf46fa2b7202d3457fc231f54c92299bd091cebdb6c023bb3071ee4c37
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.