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Tags
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transformers
Library
Model Details
Full Model IDgoogle-t5/t5-11b
Pipeline / Tasktranslation
Librarytransformers
Downloads (all-time)38.3K
Likes71
Last Modified1/2/2023
Author / Orggoogle-t5
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-t5/t5-11b")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
transformerspytorchtft5text-generationsummarizationtranslationenfrrodemultilingualdataset:c4arxiv:1805.12471arxiv:1708.00055arxiv:1704.05426arxiv:1606.05250arxiv:1808.09121arxiv:1810.12885arxiv:1905.10044arxiv:1910.09700license:apache-2.0text-generation-inferencedeploy:azureregion: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: Translation

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

All Translation Models →
📊 Popularity
Downloads38.3K
����� Community Likes71
🛠�� 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?