Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-zle-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-zle-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-zle-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-zle-pt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-zle-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| bel-por flores101-dev 0.48010 15.3 997 25287 | |
| rus-por flores101-dev 0.58125 30.6 997 25287 | |
| bel-por flores101-devtest 0.48481 16.2 1012 26519 | |
| rus-por flores101-devtest 0.58567 31.9 1012 26519 | |
| ukr-por flores101-devtest 0.59378 33.6 1012 26519 | |
| ukr-por flores101-dev 0.58622 32.5 997 25287 | |
| rus-por tatoeba-test-v2021-08-07 0.63749 42.8 10000 74713 | |
| ukr-por tatoeba-test-v2021-08-07 0.65288 45.2 3372 21315 | |