Instructions to use ahsbdcpu/google-gemma-2b-1724311527 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-2b-1724311527 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "ahsbdcpu/google-gemma-2b-1724311527") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c377ff8ae44f8fac0bd8281ecb6bd434cf6b18be12dc69049df67be8cb3a439
- Size of remote file:
- 5.37 kB
- SHA256:
- a7bc865c2d18a7c036ea187740001e72584e6f392a8799df48deea05290179f5
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