Instructions to use ahsbdcpu/google-gemma-2b-1724575102 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-2b-1724575102 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-1724575102") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a80e2782843fe7818d50801a89ef2ad0935d09f0b6d02c078918312a18e4750b
- Size of remote file:
- 17.5 MB
- SHA256:
- 7da53ca29fb16f6b2489482fc0bc6a394162cdab14d12764a1755ebc583fea79
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