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:
- a2684e75ef33453d05ab8063a346696ba1a5ceaa630adce32a57c3ad3a6f1dc6
- Size of remote file:
- 7.48 kB
- SHA256:
- 5b31bb986127283e02ed1f922da352741fff8b92071a45f50ac021b0b8b06601
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