Instructions to use Helsinki-NLP/opus-mt-es-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-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-es-sg")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-sg") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-sg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b174a1d26e26760aa600772036a6ab6457a0f2aa5abde9e9374b792c05282e63
- Size of remote file:
- 273 MB
- SHA256:
- 939d8b966a685642793fe853c35c4d2dae8db625f0ce103ae03494224e9d0419
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