Instructions to use Helsinki-NLP/opus-mt-sv-iso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-sv-iso 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-iso")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-sv-iso") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-sv-iso", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Helsinki-NLP/opus-mt-sv-iso: direct link, hf CLI and curl.
- Browser
- Download file 824 Bytes
-
https://huggingface.co/Helsinki-NLP/opus-mt-sv-iso/resolve/main/README.md
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-sv-iso/README.md
-
curl -L -o README.md https://huggingface.co/Helsinki-NLP/opus-mt-sv-iso/resolve/main/README.md
824 Bytes
metadata
tags:
- translation
license: apache-2.0
opus-mt-sv-iso
source languages: sv
target languages: iso
OPUS readme: sv-iso
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.sv.iso | 27.2 | 0.447 |