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:
- ff02f843428c8e8a389f47eb25d9f6df1315bb709a2a146e836613863c968181
- Size of remote file:
- 7.48 kB
- SHA256:
- 07a4027343ae756d755b82ffbaae168bf72eb4af76d78e552f2d87a8ca2570fe
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