Instructions to use PasinduProjects/gemma-recommendation_final2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PasinduProjects/gemma-recommendation_final2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "PasinduProjects/gemma-recommendation_final2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fce9e495afe3ec8d7e70490f0ae3f7c917fe446461ef0af17f833941c13745d3
- Size of remote file:
- 4.98 kB
- SHA256:
- e8ffbcc5f86f625789be382052d386cb0ec717b2cd800e229422a1a8bd667427
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