Instructions to use linger2334/google-gemma-7b-1724757878 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linger2334/google-gemma-7b-1724757878 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "linger2334/google-gemma-7b-1724757878") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9523059579c5504eb6c61af6f2ea535fa2afc2dbd03e6fff8830e3999c4713d
- Size of remote file:
- 5.37 kB
- SHA256:
- 9688a79ccdb75f4406a3e1cec02f02dbb7c0b346122b9d4013870878ceea99b9
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