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
Fix Tokenizer
#7
by johnchen95 - opened
The tokenizer has been fixed for the Korean -> English model.
- https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-ko-en/discussions/5
- https://github.com/Helsinki-NLP/OPUS-MT-train/issues/81
However, the same change was never applied to the English -> Korean model.
This Pull Request applies that same fix here.
English:
Personal transportation devices (skateboards, hover boards, scooters, etc.)
Korean:
개인 수송 장치 (스케이트 보드, 호버 보드, 스쿠터 등)
johnchen95 changed pull request title from Upload 2 files to Fix Tokenizer