Instructions to use canbingol/tr-gemma-3-270m-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use canbingol/tr-gemma-3-270m-it with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("canbingol/tr-gemma-3-270m-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for tr-gemma-3-270m-it
This model is a fine-tuned version of google/gemma-3-270m-it, adapted for Turkish instruction-following tasks.
It was trained using TRL's SFTTrainer on the ucekmez/OpenOrca-tr dataset.
Quick Start
from transformers import pipeline
generator = pipeline("text-generation", model="canbingol/tr-gemma-3-270m-it", device="cuda")
question = "Sadece bir kez geçmişe ya da geleceğe gidebilecek olsaydın, hangisini seçerdin ve neden?"
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
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