Instructions to use omeryentur/gemma2-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use omeryentur/gemma2-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "omeryentur/gemma2-2") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from omeryentur/gemma2-2: direct link, hf CLI and curl.
- Browser
- Download file 338 MB
-
https://huggingface.co/omeryentur/gemma2-2/resolve/main/optimizer.pt
- Command line
-
hf download hf://omeryentur/gemma2-2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/omeryentur/gemma2-2/resolve/main/optimizer.pt
338 MB
- Xet hash:
- 2b57ecba39374c4c46043dc59ea345bd73cdb9b8ebd7aeeec68e7c51503baab8
- Size of remote file:
- 338 MB
- SHA256:
- 6e9e8e0b6b2e3a0b7d659e2e5fbd76ecf720227d17e00bdc880faff6f5f40521
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