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:
- e2adb3adfd7018c5c7a3850795fbaf037109480cc0778358528d4ac95a168e59
- Size of remote file:
- 5.91 kB
- SHA256:
- db80b36a03b61070e73a039eaa22ef4f319158fa5d76b4a8fe091f4aaa789aa0
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