Instructions to use sting01/google-gemma-7b-1724803928 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sting01/google-gemma-7b-1724803928 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "sting01/google-gemma-7b-1724803928") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aea95aef96397fb84dabe9fdea4c5bb16d959a304bcb47d7522282a29bd8f91
- Size of remote file:
- 5.37 kB
- SHA256:
- 4fb85e7368ac405f1b0ed8310b81eeb38d98fefcf8e15fd7335a7d2d34e8680f
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