Model Details
Full Model IDHelsinki-NLP/opus-mt-en-de
Pipeline / Tasktranslation
Librarytransformers
Downloads (all-time)955.9K
Likes43
Last Modified8/16/2023
Author / OrgHelsinki-NLP
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="Helsinki-NLP/opus-mt-en-de")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerspytorchtfjaxrustmariantext2text-generationtranslationendelicense:cc-by-4.0endpoints_compatibledeploy:azureregion:us
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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
⬇ Downloads955.9K
����� Community Likes43
🛠�� 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.