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
- Xet hash:
- aa459caf3f7fbee5bc6fd82598674fdbae314a234510c899b2a2ea9c99c5c6a9
- Size of remote file:
- 790 kB
- SHA256:
- 3d0591e65c49541d82f48df33d7b322c3d4ee7aa0ee8747f9a7f9355dbf22c95
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