Helsinki-NLP/tatoeba_mt
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How to use BlackKakapo/opus-mt-en-ro 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="BlackKakapo/opus-mt-en-ro") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("BlackKakapo/opus-mt-en-ro")
model = AutoModelForSeq2SeqLM.from_pretrained("BlackKakapo/opus-mt-en-ro")This model is a finetune of the Helsinki-NLP/opus-mt-en-ro model, on ccmatrix(full) dataset.
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("BlackKakapo/opus-mt-en-ro")
model = AutoModelForSeq2SeqLM.from_pretrained("BlackKakapo/opus-mt-en-ro")
| Model | Test Dataset | BLEU | Translation Length | Reference Length |
|---|---|---|---|---|
| BlackKakapo/opus-mt-en-ro | ("Helsinki-NLP/tatoeba_mt", "eng-ron", "test") | 0.53118 | 40516 | 40352 |
| Helsinki-NLP/opus-mt-en-ro | ("Helsinki-NLP/tatoeba_mt", "eng-ron", "test") | 0.45844 | 39222 | 40352 |
| Helsinki-NLP/opus-tatoeba-en-ro | ("Helsinki-NLP/tatoeba_mt", "eng-ron", "test") | 0.46994 | 39423 | 40352 |