Instructions to use KapilPathak/gemma_summary_7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KapilPathak/gemma_summary_7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "KapilPathak/gemma_summary_7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77438151880919b5ecdd2f40c9a217abe0c9cdd6fd1f3346e1d7773f10270454
- Size of remote file:
- 3.23 GB
- SHA256:
- 2e737ecce39e9fe79f4c19f213567c9003ab0c2afa7848df04343fe8316693e3
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