Translation
Transformers
PyTorch
TensorFlow
English
Italian
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-it-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-big-it-en 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-tc-big-it-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-it-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-it-en") - Notebooks
- Google Colab
- Kaggle
| ita-eng flores101-dev 0.62411 32.8 997 23555 | |
| ita-eng flores101-devtest 0.62115 32.8 1012 24721 | |
| ita-eng newssyscomb2009 0.59822 34.4 502 11818 | |
| ita-eng newstest2009 0.59646 34.3 2525 65399 | |
| ita-eng tatoeba-test-v2020-07-28 0.80870 70.5 10000 67385 | |
| ita-eng tatoeba-test-v2021-03-30 0.81449 71.0 13443 92322 | |
| ita-eng tatoeba-test-v2021-08-07 0.82288 72.1 17320 119214 | |