Instructions to use gsayak/gemma2-2b-reflection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gsayak/gemma2-2b-reflection with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "gsayak/gemma2-2b-reflection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c3193457dae7d0b60c7efc548abd132893a89fca925522e2e04ee877928167b
- Size of remote file:
- 17.5 MB
- SHA256:
- 2c3d97b195adc28805a3948ef728314850fcecc13e97fd97c8bf9f0fb6f93edd
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