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:
- 1fba8328ccf7d17e080537dff0f3a253bb9134f0e6ee9c70a2f2d749a306494a
- Size of remote file:
- 287 MB
- SHA256:
- 3b982d3c45cb5086cfa428067c3c44840eccd283bebd084d19690a0f54dad9c0
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