Instructions to use ahsbdcpu/google-gemma-2b-1724579005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-2b-1724579005 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-1724579005") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae1a2691ebe5161b34bce37ce155cb37bcad6b3a6e9e1d9e4de2ee5b571630f7
- Size of remote file:
- 5.37 kB
- SHA256:
- 32376454b38da587ee57ffba0167232d3e1d3532df30cfdab0d8edb812bf922a
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