Instructions to use Helsinki-NLP/opus-mt_tiny_kor-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt_tiny_kor-eng 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_tiny_kor-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt_tiny_kor-eng") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt_tiny_kor-eng") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5544156766f273c85ed4eaafc2e2eb403b74e7c8ed2d9a04b260a30863a028a9
- Size of remote file:
- 20.1 MB
- SHA256:
- 87407b100e072f252cb67b7065c362d0daf3d2b69275b2bb516143e0b4fbb586
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