Translation
Transformers
PyTorch
TensorFlow
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-ar-itc 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-ar-itc 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-ar-itc")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-ar-itc") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-ar-itc") - Notebooks
- Google Colab
- Kaggle
| ara-cat flores101-dev 0.55874 29.0 997 25962 | |
| ara-fra flores101-dev 0.60236 34.4 997 26706 | |
| ara-glg flores101-dev 0.51799 24.0 997 25265 | |
| ara-ita flores101-dev 0.52071 22.1 997 25840 | |
| ara-por flores101-dev 0.58217 32.2 997 25287 | |
| ara-ron flores101-dev 0.51286 22.5 997 25616 | |
| ara-spa flores101-dev 0.49301 21.3 997 27793 | |
| ara-cat flores101-devtest 0.55670 28.7 1012 27304 | |
| ara-fra flores101-devtest 0.59715 33.4 1012 28343 | |
| ara-glg flores101-devtest 0.51898 23.5 1012 26582 | |
| ara-ita flores101-devtest 0.52523 22.3 1012 27306 | |
| ara-por flores101-devtest 0.58260 31.6 1012 26519 | |
| ara-ron flores101-devtest 0.51425 22.4 1012 26799 | |
| ara-spa flores101-devtest 0.50203 21.8 1012 29199 | |
| ara-ita tatoeba-test-v2021-03-30 0.67125 46.4 250 1590 | |
| ara-fra tatoeba-test-v2021-08-07 0.57876 41.5 1569 11066 | |
| ara-ita tatoeba-test-v2021-08-07 0.66888 46.5 235 1495 | |
| ara-spa tatoeba-test-v2021-08-07 0.64686 47.2 1511 9708 | |