Instructions to use ManyingZ/task-13-google-gemma-2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ManyingZ/task-13-google-gemma-2-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "ManyingZ/task-13-google-gemma-2-2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c71af76b3704b8e3a2bce156ef8d6790cff6a87ba83bf05a82c0d86c42511509
- Size of remote file:
- 1.72 MB
- SHA256:
- 04c3614839da41671462f92a3b76cf7997814e78fb2974ee91022d1eb91c3f32
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