Instructions to use mehmetdavut/ruby3.4-gemma-2-9b-1k-all-16bit-gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mehmetdavut/ruby3.4-gemma-2-9b-1k-all-16bit-gemini with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "mehmetdavut/ruby3.4-gemma-2-9b-1k-all-16bit-gemini") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from mehmetdavut/ruby3.4-gemma-2-9b-1k-all-16bit-gemini: direct link, hf CLI and curl.
- Browser
- Download file 216 MB
-
https://huggingface.co/mehmetdavut/ruby3.4-gemma-2-9b-1k-all-16bit-gemini/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mehmetdavut/ruby3.4-gemma-2-9b-1k-all-16bit-gemini/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mehmetdavut/ruby3.4-gemma-2-9b-1k-all-16bit-gemini/resolve/main/adapter_model.safetensors
216 MB
- Xet hash:
- c3d3a07de1320fa0fd4ae5fdbbbaa8ee6f8ad6618518a19f508050cdfcc0e143
- Size of remote file:
- 216 MB
- SHA256:
- e031337dfe14efdb4dac8c3f062b9f516658c8f971d54313dfeb39a9a8781a67
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