Instructions to use baltop/gemma-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baltop/gemma-sum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "baltop/gemma-sum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 015b26335655541808a71b527ca030e021c4e2c7091d5a4ec0f5eb57060ed841
- Size of remote file:
- 314 MB
- SHA256:
- 54b28a4661b18e7d998ed4960cb4de4f5e86adb2c14d9eecbf143e0d336e4488
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