🤖 any-to-any

gemma-4-12B-it

google/gemma-4-12B-it

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transformers
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Model Details
Full Model IDgoogle/gemma-4-12B-it
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)2.2M
Likes1.2K
Last Modified6/4/2026
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-4-12B-it")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerssafetensorsgemma4_unifiedimage-text-to-textany-to-anybase_model:google/gemma-4-12Bbase_model:finetune:google/gemma-4-12Blicense:apache-2.0eval-resultsendpoints_compatibleregion:us
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🚀 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.

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📊 Popularity
Downloads2.2M
❤️ Community Likes1.2K
🛠️ 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?