Instructions to use Helsinki-NLP/opus-mt-fi-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-sv 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-fi-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-sv") - Notebooks
- Google Colab
- Kaggle
opus-mt-fi-sv
source languages: fi
target languages: sv
OPUS readme: fi-sv
dataset: opus+bt
model: transformer-align
pre-processing: normalization + SentencePiece
download original weights: opus+bt-2020-04-11.zip
test set translations: opus+bt-2020-04-11.test.txt
test set scores: opus+bt-2020-04-11.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| fiskmo_testset.fi.sv | 27.4 | 0.605 |
| Tatoeba.fi.sv | 54.7 | 0.709 |
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