Instructions to use jackkma/google-gemma-7b-1724786941 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jackkma/google-gemma-7b-1724786941 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "jackkma/google-gemma-7b-1724786941") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 124e0a11685cfe0c3b6a0660cfb32eb8db186b9acf5788e19ccdbe489f2cc0e7
- Size of remote file:
- 5.3 kB
- SHA256:
- bf44419ee9710ea168a5f97891e6c7532076e03a8af3abcb8bbeca5590e79a0e
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