Instructions to use Helsinki-NLP/opus-mt-sv-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-sv-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-sv-sg")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-sv-sg") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-sv-sg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Helsinki-NLP/opus-mt-sv-sg: direct link, hf CLI and curl.
- Browser
- Download file 816 Bytes
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https://huggingface.co/Helsinki-NLP/opus-mt-sv-sg/resolve/main/README.md
- Command line
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hf download hf://Helsinki-NLP/opus-mt-sv-sg/README.md
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curl -L -o README.md https://huggingface.co/Helsinki-NLP/opus-mt-sv-sg/resolve/main/README.md
816 Bytes
metadata
tags:
- translation
license: apache-2.0
opus-mt-sv-sg
source languages: sv
target languages: sg
OPUS readme: sv-sg
dataset: opus
model: transformer-align
pre-processing: normalization + SentencePiece
download original weights: opus-2020-01-21.zip
test set translations: opus-2020-01-21.test.txt
test set scores: opus-2020-01-21.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| JW300.sv.sg | 30.0 | 0.487 |