Instructions to use AKDATA1/google-gemma-7b-1725679175 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AKDATA1/google-gemma-7b-1725679175 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-1725679175") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a516efef2be0802c627ed2f4dec73b2f2602892f1901fe74657e5965680428b
- Size of remote file:
- 5.37 kB
- SHA256:
- 3b0c790e840bda2d0b2fc30d04049cb6496beb386dca7b21cf6057759cd0e2c6
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