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:
- 8767e987904932a0618e35562d67647b9e8f2cb271a7d17b7b0ab1b9f274361b
- Size of remote file:
- 4.92 kB
- SHA256:
- 612915cec7f85707f72f8c2a49861c1e41549285073b2e56bb2013770172ec2f
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