Instructions to use coderbojack/google-gemma-7b-1722256583 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use coderbojack/google-gemma-7b-1722256583 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "coderbojack/google-gemma-7b-1722256583") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07d79667ba18f4d300ae95e8e8a0f75ffacf04b949979007cce4971220db7321
- Size of remote file:
- 5.37 kB
- SHA256:
- 9604da9fea33b9df6a669fd7ffa4b47c9dde6a5f3b1c29a5fb7c880fd4b014b4
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