Instructions to use ahsbdcpu/google-gemma-2b-1724416785 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-2b-1724416785 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-1724416785") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abdd7f001d694cf761dd1f87c8849b9e61d50b5c419851404960a0c3dadcf07f
- Size of remote file:
- 5.37 kB
- SHA256:
- a324fc30bbcaf11c0e4c8cc4f5145ed7c473e4a1afe895daa5030c448b66ad8b
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