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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5a4b9f7dcfdb59ea417b45f5be85c59b3519cd253d41da02d82280c6b19aaf4
- Size of remote file:
- 50.7 MB
- SHA256:
- 710825e77e18ffb2a40242359a293ca0b7db0c5277737510c638a417af1d051b
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