# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ty-sv")
model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-ty-sv")Quick Links
opus-mt-ty-sv
source languages: ty
target languages: sv
OPUS readme: ty-sv
dataset: opus
model: transformer-align
pre-processing: normalization + SentencePiece
download original weights: opus-2020-01-16.zip
test set translations: opus-2020-01-16.test.txt
test set scores: opus-2020-01-16.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| JW300.ty.sv | 28.9 | 0.472 |
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# 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-ty-sv")