Instructions to use ahsbdcpu/google-gemma-2b-1725462267 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-2b-1725462267 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-1725462267") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99ffde748541e9f15a646fb87a774bcd21e19b1ff43d1ffdc5985bdae0047136
- Size of remote file:
- 5.37 kB
- SHA256:
- 939ac0d27473c8c5d55d01c963727a08d3310acbf2f096005b67408d140b68d9
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