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:
- 013e2aed7956b4bc5c81f1a49329073b9dd351ae43d8e35f666b14a674f2c860
- Size of remote file:
- 8.09 kB
- SHA256:
- 931fc429e16034c613218d9cb84c4ac5bdc0fe50972934b71cbfb0330542187b
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