Instructions to use YuCollection/gemma-4-E4B-it-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuCollection/gemma-4-E4B-it-bf16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("YuCollection/gemma-4-E4B-it-bf16") model = AutoModelForMultimodalLM.from_pretrained("YuCollection/gemma-4-E4B-it-bf16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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> **Note:** This repository is an **archived mirror** and is **not** the original upstream source.
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> The original model, weights, and documentation are developed and maintained by **Google DeepMind**.
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> All hosted model weights are **unmodified**.
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> The model is released under the **Apache License, Version 2.0**, which permits use, modification, and redistribution under its terms.
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> **Note:** This repository is an **archived mirror** and is **not** the original upstream source.
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> The original model, weights, and documentation are developed and maintained by **Google DeepMind**.
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> All hosted model weights are **unmodified**.
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> The model is released under the **Apache License, Version 2.0**, which permits use, modification, and redistribution under its terms.
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