Translation
Transformers
PyTorch
TensorFlow
Safetensors
English
Korean
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-en-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-big-en-ko with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-ko")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-ko") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-ko") - Inference
- Notebooks
- Google Colab
- Kaggle
| eng-kor flores101-dev 0.37051 13.3 997 17570 | |
| eng-kor flores101-devtest 0.36399 13.7 1012 18427 | |
| eng-kor tatoeba-test-v2020-07-28 0.33225 13.2 2414 13244 | |
| eng-kor tatoeba-test-v2021-03-30 0.33225 13.2 2414 13244 | |
| eng-kor tatoeba-test-v2021-08-07 0.33221 13.2 2400 13174 | |