🌐 Translation

madlad400-3b-mt

google/madlad400-3b-mt

Get AI Model →
197.2K
Downloads
❤️
208
Likes
🏷️
431
Tags
📦
transformers
Library
Model Details
Full Model IDgoogle/madlad400-3b-mt
Pipeline / Tasktranslation
Librarytransformers
Downloads (all-time)197.2K
Likes208
Last Modified11/27/2023
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("translation", model="google/madlad400-3b-mt")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerssafetensorsgguft5text2text-generationtext-generation-inferencetranslationmultilingualenruesfrdeitptplnlvitrsvidrocszhhujathfifauk
More Translation Models
See all →
t5-small

google-t5/t5-small

11.6M❤️ 556
Get AI Model →
t5-base

google-t5/t5-base

2.8M❤️ 778
Get AI Model →
nllb-200-distilled-600M

facebook/nllb-200-distilled-600M

1.5M❤️ 926
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: Translation

This model is designed for the Translation task. Explore more models for this use case.

All Translation Models →
📊 Popularity
Downloads197.2K
❤️ Community Likes208
🛠️ 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?