Instructions to use ahsbdcpu/task-17-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/task-17-google-gemma-2b 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/task-17-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dca904b576d8f5c372838a278a7391eaca80b397ab66b29500c0f0921493888
- Size of remote file:
- 5.43 kB
- SHA256:
- 766b2f4afd7701871a01bd316698337b01e2bed4f27c84d65b0687ee0ac1e928
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