🤖 any-to-any

gemma-4-E2B-it

google/gemma-4-E2B-it

Get AI Model →
1.8M
Downloads
❤️
499
Likes
🏷️
10
Tags
📦
transformers
Library
Model Details
Full Model IDgoogle/gemma-4-E2B-it
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)1.8M
Likes499
Last Modified4/10/2026
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-it")

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

google/gemma-4-E4B-it

5.6M❤️ 952
Get AI Model →
gemma-4-E4B

google/gemma-4-E4B

1.1M❤️ 230
Get AI Model →
Qwen3-Omni-30B-A3B-Instruct

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

936.1K❤️ 920
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
Downloads1.8M
❤️ Community Likes499
🛠️ 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?