Instructions to use Helsinki-NLP/opus-mt-en-to with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-to 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-en-to")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-to") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-to", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fec2d2350b8c97bcc010d86b307fc51d38ab9a54a638d748e7a325f7066771ca
- Size of remote file:
- 297 MB
- SHA256:
- 744b3fc6a46106a0c4887a6b2755d916e82fbec266f8eceaf3c4e1c2e550518b
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