🤖 any-to-any

gemma-4-E2B

google/gemma-4-E2B

Get AI Model →
1.2M
Downloads
�����
289
Likes
�����
8
Tags
📦
transformers
Library
Model Details
Full Model IDgoogle/gemma-4-E2B
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)1.2M
Likes289
Last Modified4/2/2026
Author / Orggoogle
PrivateNo � public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("any-to-any", model="google/gemma-4-E2B")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
transformerssafetensorsgemma4image-text-to-textany-to-anylicense:apache-2.0endpoints_compatibleregion:us
More any-to-any Models
See all →
gemma-4-E4B-it

google/gemma-4-E4B-it

6.3M����� 1.1K
Get AI Model →
gemma-4-E2B-it

google/gemma-4-E2B-it

3.1M����� 670
Get AI Model →
Qwen3-Omni-30B-A3B-Instruct

Qwen/Qwen3-Omni-30B-A3B-Instruct

1.6M����� 927
Get AI Model →
🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗�� Browse All Models
🤖 Task: any-to-any

This model is designed for the any-to-any task. Explore more models for this use case.

All any-to-any Models →
📊 Popularity
Downloads1.2M
����� Community Likes289
🛠�� Requirements
  • Install: pip install transformers
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?