Translation
Transformers
PyTorch
TensorFlow
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-itc-ar 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-itc-ar 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-itc-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-itc-ar") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-itc-ar") - Notebooks
- Google Colab
- Kaggle
| cat-ara flores101-dev 0.52606 20.8 997 20512 | |
| fra-ara flores101-dev 0.52763 19.9 997 20512 | |
| glg-ara flores101-dev 0.51184 20.0 997 20512 | |
| ita-ara flores101-dev 0.49244 16.0 997 20512 | |
| por-ara flores101-dev 0.53110 20.8 997 20512 | |
| ron-ara flores101-dev 0.51521 18.7 997 20512 | |
| spa-ara flores101-dev 0.48171 14.9 997 20512 | |
| cat-ara flores101-devtest 0.52029 18.9 1012 21357 | |
| fra-ara flores101-devtest 0.52573 19.5 1012 21357 | |
| glg-ara flores101-devtest 0.51181 19.2 1012 21357 | |
| ita-ara flores101-devtest 0.49401 15.0 1012 21357 | |
| por-ara flores101-devtest 0.53356 20.2 1012 21357 | |
| ron-ara flores101-devtest 0.51849 18.4 1012 21357 | |
| spa-ara flores101-devtest 0.47872 14.3 1012 21357 | |
| ita-ara tatoeba-test-v2021-03-30 0.53296 25.5 250 1245 | |
| fra-ara tatoeba-test-v2021-08-07 0.46463 18.9 1569 7956 | |
| ita-ara tatoeba-test-v2021-08-07 0.53797 25.7 235 1161 | |
| spa-ara tatoeba-test-v2021-08-07 0.55520 26.6 1511 7547 | |