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:
- b9961554900b59b1a9975311f50fecfe88136f1d6d382cab5a0d8027838cfa12
- Size of remote file:
- 2.84 GB
- SHA256:
- 1171b6f7fcdbb19f6026e135879a7de0db22e635d1b56d801d8cbd08584251fd
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