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Browse files- .gitattributes +1 -0
- README.md +30 -0
- config.json +401 -0
- generation_config.json +10 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +50 -0
- processor_config.json +5 -0
- special_tokens_map.json +36 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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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-E2B-bf16
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This model was converted to MLX format from [`google/gemma-3n-E2B`]() using mlx-vlm version **0.2.0**.
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Refer to the [original model card](https://huggingface.co/google/gemma-3n-E2B) 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-E2B-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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```
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config.json
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