Instructions to use AKDATA1/google-gemma-7b-1724825897 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AKDATA1/google-gemma-7b-1724825897 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "AKDATA1/google-gemma-7b-1724825897") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e2ea15609d1d59ce2ffc162d29fd684c9f2a0aaf3cb45370e4c6181feecbb27
- Size of remote file:
- 12.9 MB
- SHA256:
- cc2d4262f269a3f95325c9bb03e9446cee81cc4f27745c3a29c8531fcb29ee05
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