Instructions to use ahsbdcpu/google-gemma-2b-1724327304 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-2b-1724327304 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-1724327304") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db54755db989872fbaec7a084dac06926eb398cdf231cca992659a9e7b5eac9b
- Size of remote file:
- 5.37 kB
- SHA256:
- ddecf1da7a96d5f63bcaba84862b5df3ca9fe27e185c0aae87bef373b5b84ce6
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