Translation
Transformers
Safetensors
Ganda
Acoli
English
gemma4
image-text-to-text
gemma
multimodal
speech
asr
luganda
acholi
Instructions to use ak3ra/gemma-4-e2b-mixed-sft-fft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ak3ra/gemma-4-e2b-mixed-sft-fft with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="ak3ra/gemma-4-e2b-mixed-sft-fft")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("ak3ra/gemma-4-e2b-mixed-sft-fft") model = AutoModelForImageTextToText.from_pretrained("ak3ra/gemma-4-e2b-mixed-sft-fft") - Notebooks
- Google Colab
- Kaggle
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