Instructions to use Helsinki-NLP/opus-mt-nyk-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-nyk-en 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-nyk-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-nyk-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-nyk-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d41f284c86897bb5aa701585ab481eee9dcc82953c17ce10b37dd577c611817
- Size of remote file:
- 288 MB
- SHA256:
- d239e6db097034dfdd0d264815d58beb4a8b5408b0f6f42b7708cd2ce739db4a
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