Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-zle-it 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-it 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-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-zle-it") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-zle-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| bel-ita flores101-dev 0.46392 12.8 997 25840 | |
| rus-ita flores101-dev 0.52834 22.8 997 25840 | |
| bel-ita flores101-devtest 0.46311 13.5 1012 27306 | |
| rus-ita flores101-devtest 0.53054 23.7 1012 27306 | |
| ukr-ita flores101-devtest 0.52783 23.2 1012 27306 | |
| ukr-ita flores101-dev 0.52237 22.2 997 25840 | |
| bel-ita tatoeba-test-v2020-07-28 0.65945 49.3 264 1681 | |
| rus-ita tatoeba-test-v2020-07-28 0.64027 43.4 10000 71254 | |
| ukr-ita tatoeba-test-v2020-07-28 0.69570 50.0 5000 27846 | |
| bel-ita tatoeba-test-v2021-03-30 0.66073 49.5 265 1687 | |
| rus-ita tatoeba-test-v2021-03-30 0.64033 43.5 10010 71323 | |
| ukr-ita tatoeba-test-v2021-03-30 0.69570 50.0 5000 27846 | |
| bel-ita tatoeba-test-v2021-08-07 0.65945 49.3 264 1681 | |
| rus-ita tatoeba-test-v2021-08-07 0.64037 43.5 10045 71584 | |
| ukr-ita tatoeba-test-v2021-08-07 0.69570 50.0 5000 27846 | |