Instructions to use google/gemma-4-E2B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E2B-it with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-E2B-it") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E2B-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- AMD Developer Cloud
Welcome G4! Any new T5-G4 coming?
🐶
Any hybrids coming out too?
What do you mean by hybrids
GEMMA 4 T5
Could you clarify what you mean by 'hybrids'? Are you referring to models like T5 Gemma 2? It’s important to note the architectural differences: Gemma 4 is a next-generation decoder-only model, whereas T5 Gemma 2 utilizes an encoder-decoder framework.
Thanks
The question is whether there are plans to manufacture derivatives such as the T5Gemma-3, based on the Gemma-4, just as there is the T5Gemma-2 based on the Gemma-3.
Any answers?
Perhaps what they mean is, "The plan itself is underway internally, but it hasn't been decided yet whether it will be released under the 'Gemma' series."It would be difficult for them to give a firm guarantee here.
@pannaga10 , regardless of whether or not it will actually be released, is it technically feasible?