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--- |
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license: gemma |
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library_name: transformers |
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pipeline_tag: image-text-to-text |
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extra_gated_heading: Access Gemma on Hugging Face |
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and |
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agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging |
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Face and click below. Requests are processed immediately. |
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extra_gated_button_content: Acknowledge license |
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base_model: google/gemma-3n-E4B |
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tags: |
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- automatic-speech-recognition |
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- automatic-speech-translation |
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- audio-text-to-text |
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- video-text-to-text |
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- mlx |
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--- |
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# mlx-community/gemma-3n-E4B-it-4bit |
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This model was converted to MLX format from [`google/gemma-3n-E4B-it`]() using mlx-vlm version **0.3.1**. |
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Refer to the [original model card](https://huggingface.co/google/gemma-3n-E4B-it) for more details on the model. |
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## Use with mlx |
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```bash |
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pip install -U mlx-vlm |
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``` |
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```bash |
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python -m mlx_vlm.generate --model mlx-community/gemma-3n-E4B-it-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> |
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``` |
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