Instructions to use aaditya/gemma_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aaditya/gemma_out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "aaditya/gemma_out") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from aaditya/gemma_out: direct link, hf CLI and curl.
- Browser
- Download file 200 MB
-
https://huggingface.co/aaditya/gemma_out/resolve/main/adapter_model.bin
- Command line
-
hf download hf://aaditya/gemma_out/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/aaditya/gemma_out/resolve/main/adapter_model.bin
200 MB
- Xet hash:
- f3665693dc6b29ed4033dced6f647f6d0e066a2f6aa158891f5680368f4da82b
- Size of remote file:
- 200 MB
- SHA256:
- d67099cd5a59e6624588db6ab83b1ccb89c5d81bdf80f8ff61028008ab02b63a
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