Audio-Text-to-Text
Transformers
Safetensors
gemma4
image-text-to-text
audio
multimodal
gemma
gemma-4
speech-qa
ugandan-languages
low-resource-languages
sunbird
Instructions to use Sunbird/sunbirdtutor-gemma-4-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sunbird/sunbirdtutor-gemma-4-e2b with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Sunbird/sunbirdtutor-gemma-4-e2b") model = AutoModelForImageTextToText.from_pretrained("Sunbird/sunbirdtutor-gemma-4-e2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6990ce7f75130d74d394c6f428446b6f555482a33c9e5637027af47b98c46a8
- Size of remote file:
- 32.2 MB
- SHA256:
- b1d8bced9d66859cd2c3f4dcd8ab427197d4d46af3d9598b72af9fcf80b8392e
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