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:
- a12295e13105a12975182024f6c7d1551996bd0ae6b3de2f16f551c69761e030
- Size of remote file:
- 17.5 MB
- SHA256:
- 55161d63da04c06bc7c99624d528e99fe99d371d795cfa5f7cab5f3cb80e3d7e
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