Instructions to use Helsinki-NLP/opus-mt-en-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-sg 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-sg")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-sg") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-sg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 500a7941c6ca32da6abb964d3ee88ab8fffd9e83806e5ee787e713a27d386381
- Size of remote file:
- 269 MB
- SHA256:
- 43df153f709a1a95ff14781a8cceccd7efadf87e04990d759cdf31cb04faee1d
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