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:
- eb429424a241b23ce6c5de2fb1718ef295dfe2616e76af6b4b14315846fa0bb2
- Size of remote file:
- 7.48 kB
- SHA256:
- 6bd90163163117506c0ec6c8132f9044e961411dfc3a728b979bb65e51a26614
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