Translation
Transformers
PyTorch
TensorFlow
Safetensors
English
Finnish
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-fi-en 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-fi-en 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-fi-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-fi-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-fi-en", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| fin-eng flores101-dev 0.63325 36.3 997 23555 | |
| fin-eng flores101-devtest 0.62521 35.4 1012 24721 | |
| fin-eng newsdev2015 0.56232 28.6 1500 32012 | |
| fin-eng newstest2015 0.57469 29.9 1370 27270 | |
| fin-eng newstest2016 0.60715 34.3 3000 62945 | |
| fin-eng newstest2017 0.63050 37.3 3002 61846 | |
| fin-eng newstest2018 0.54199 27.1 3000 62325 | |
| fin-eng newstest2019 0.59620 32.7 1996 36215 | |
| fin-eng newstestB2016 0.55472 27.9 3000 62945 | |
| fin-eng newstestB2017 0.58847 31.1 3002 61846 | |
| fin-eng tatoeba-test-v2020-07-28 0.72286 57.4 10000 74651 | |
| fin-eng tatoeba-test-v2021-03-30 0.72288 57.4 10186 76206 | |
| fin-eng tatoeba-test-v2021-08-07 0.72298 57.4 10690 80552 | |