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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Sunbird/sunbirdtutor-gemma-4-e2b") model = AutoModelForMultimodalLM.from_pretrained("Sunbird/sunbirdtutor-gemma-4-e2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7206de1eb796fa5a1e140b0e57c8d0d7ecc84d370585e10f9700382635254ed4
- Size of remote file:
- 1.47 kB
- SHA256:
- b713d7c231b3ec6639ccb2ae4d4dc45f4c22877b54b3181bff176c54025c6a85
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