Instructions to use dvdmrs09/gemma-py2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dvdmrs09/gemma-py2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "dvdmrs09/gemma-py2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from dvdmrs09/gemma-py2: direct link, hf CLI and curl.
- Browser
- Download file 200 MB
-
https://huggingface.co/dvdmrs09/gemma-py2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://dvdmrs09/gemma-py2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/dvdmrs09/gemma-py2/resolve/main/adapter_model.bin
200 MB
- Xet hash:
- 5c3555fa58dfdef2bcb882e9c350914128590d94f2e1493f1957b9e58ca3f706
- Size of remote file:
- 200 MB
- SHA256:
- 56027d240d1c3a71c42694a8d10be6ce43895d6fcf1f952d2c724a9e87326474
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