Model Details
Full Model IDHelsinki-NLP/opus-mt-tc-big-en-tr
Pipeline / Tasktranslation
Librarytransformers
Downloads (all-time)150.1K
Likes57
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-tc-big-en-tr")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchtfmariantext2text-generationtranslationopus-mt-tcentrlicense:cc-by-4.0model-indexendpoints_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
⬇ Downloads150.1K
❤️ Community Likes57
🛠️ 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.