�� Translation

nllb-200-3.3B

facebook/nllb-200-3.3B

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Downloads
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Tags
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transformers
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Model Details
Full Model IDfacebook/nllb-200-3.3B
Pipeline / Tasktranslation
Librarytransformers
Downloads (all-time)220.0K
Likes455
Last Modified2/11/2023
Author / Orgfacebook
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="facebook/nllb-200-3.3B")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
transformerspytorchnllbtranslationaceacmacqaebafajpakalsamapcararsaryarzasastawaayrazbazjbabmbanbebembn
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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.

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📊 Popularity
Downloads220.0K
����� Community Likes455
🛠�� 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?