Instructions to use GoYM/gemma-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GoYM/gemma-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-pt") model = PeftModel.from_pretrained(base_model, "GoYM/gemma-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8cd9a6ab80b69f36cafb011d1da7fb6f44d715880209e78f2daaf30449fd6a2
- Size of remote file:
- 88 Bytes
- SHA256:
- bd63af74dd4663b0b76f80e7befa579564ec2c933c5ca08be1adeaf0af5a2721
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