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
Add default generation params
Browse files- generation_config.json +3 -0
generation_config.json
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"eos_token_id": 1,
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"pad_token_id": 0,
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"temperature": 1.0,
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"transformers_version": "5.3.0.dev0"
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}
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"eos_token_id": 1,
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"pad_token_id": 0,
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"temperature": 1.0,
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"do_sample": true,
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"top_k": 64,
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"top_p": 0.95,
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"transformers_version": "5.3.0.dev0"
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}
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