Translation
Transformers
PyTorch
TensorFlow
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-en-pt 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-en-pt 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-en-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-pt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-pt", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| eng-por flores101-dev 0.71108 50.0 997 25287 | |
| eng-por flores101-devtest 0.71673 50.4 1012 26519 | |
| eng-por tatoeba-test-v2020-07-28 0.68656 48.8 10000 75371 | |
| eng-por tatoeba-test-v2021-03-30 0.68785 48.9 11574 87572 | |
| eng-por tatoeba-test-v2021-08-07 0.69320 49.6 13222 105265 | |