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:
- 1ec824dac3e2c5ab8ea723fe9ffb16d0b681d76f05bfe7728d4f38d556007fb7
- Size of remote file:
- 2.84 GB
- SHA256:
- 5ce229d17e9d655f4e2872c5b3769998ce0e86da587efbf9dfc1adb6c7ed84f9
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