Instructions to use linger2334/google-gemma-7b-1724814320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linger2334/google-gemma-7b-1724814320 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-1724814320") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a496523bc215b241d2cc02f24051acdfb1038e3c5cccc4d04a61bb38710dccb1
- Size of remote file:
- 6.44 MB
- SHA256:
- 56d71696d80a6a3278f2592ac967145016b5c60fc129ee6dd33b38461831f9e2
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