Instructions to use Helsinki-NLP/opus-mt-en-CELTIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-CELTIC 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-en-CELTIC")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-CELTIC") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-CELTIC") - Notebooks
- Google Colab
- Kaggle
opus-mt-en-INSULAR_CELTIC
source languages: en
target languages: ga,cy,br,gd,kw,gv
OPUS readme: en-ga+cy+br+gd+kw+gv
dataset: opus+techiaith+bt
model: transformer-align
pre-processing: normalization + SentencePiece
a sentence initial language token is required in the form of
>>id<<(id = valid target language ID)download original weights: opus+techiaith+bt-2020-04-24.zip
test set translations: opus+techiaith+bt-2020-04-24.test.txt
test set scores: opus+techiaith+bt-2020-04-24.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba.en.ga | 22.8 | 0.404 |
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