Instructions to use linger2334/google-gemma-7b-1724804465 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linger2334/google-gemma-7b-1724804465 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "linger2334/google-gemma-7b-1724804465") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7514928046ae1e95c967037aebfaa9537f4c8bdbde64451c1c4e098f78e6e6e
- Size of remote file:
- 6.44 MB
- SHA256:
- 17d4f06af74dd52ab40217c915e67cf7a4be73625948bb1944e33a194b7dd364
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