Model Details
Full Model IDHelsinki-NLP/opus-mt-zh-en
Pipeline / Tasktranslation
Librarytransformers
Downloads (all-time)217.2K
Likes551
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-zh-en")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchtfrustmariantext2text-generationtranslationzhenlicense:cc-by-4.0endpoints_compatibledeploy:azureregion:us
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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
⬇ Downloads217.2K
❤️ Community Likes551
🛠️ 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.