Instructions to use dplus02/google-gemma-2b-1728799112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dplus02/google-gemma-2b-1728799112 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/google-gemma-2b-1728799112") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f086fc03c23c8fa44aa4af13c350ec019b616f07f63de3f061e44ece56cc0e9
- Size of remote file:
- 5.37 kB
- SHA256:
- 66a92807a173e33655d487ed1e8191c1281e078965ba337c781fb18c0fe129ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.