Instructions to use google/gemma-4-E2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E2B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-E2B") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{
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"audio_token": "<|audio|>",
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"backend": "tokenizers",
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"boa_token": "<|audio>",
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{
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"add_bos_token": true,
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"audio_token": "<|audio|>",
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"backend": "tokenizers",
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"boa_token": "<|audio>",
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