| | --- |
| | license: gemma |
| | library_name: transformers |
| | pipeline_tag: image-text-to-text |
| | extra_gated_heading: Access Gemma on Hugging Face |
| | extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and |
| | agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging |
| | Face and click below. Requests are processed immediately. |
| | extra_gated_button_content: Acknowledge license |
| | base_model: google/gemma-3n-E4B |
| | tags: |
| | - automatic-speech-recognition |
| | - automatic-speech-translation |
| | - audio-text-to-text |
| | - video-text-to-text |
| | - mlx |
| | --- |
| | |
| | # mlx-community/gemma-3n-E4B-it-3bit |
| | This model was converted to MLX format from [`google/gemma-3n-E4B-it`]() using mlx-vlm version **0.3.0**. |
| | Refer to the [original model card](https://huggingface.co/google/gemma-3n-E4B-it) for more details on the model. |
| | ## Use with mlx |
| |
|
| | ```bash |
| | pip install -U mlx-vlm |
| | ``` |
| |
|
| | ```bash |
| | python -m mlx_vlm.generate --model mlx-community/gemma-3n-E4B-it-3bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> |
| | ``` |
| |
|
