Instructions to use Helsinki-NLP/opus-mt-sem-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-sem-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-sem-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-sem-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-sem-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b577c62ad7d34b208fb1b27088a11b519321e712d91574b012f277d4396f22e
- Size of remote file:
- 304 MB
- SHA256:
- 3d0bdc5157ec89a3b356717095c6bd03b47ebcdca36bb65b098ba2c9feac20af
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