Instructions to use Nextcloud-AI/opus-mt-it-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-it-de 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="Nextcloud-AI/opus-mt-it-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-it-de") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-it-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - translation | |
| license: apache-2.0 | |
| ### opus-mt-it-de | |
| * source languages: it | |
| * target languages: de | |
| * OPUS readme: [it-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-de/README.md) | |
| * dataset: opus | |
| * model: transformer-align | |
| * pre-processing: normalization + SentencePiece | |
| * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.zip) | |
| * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.test.txt) | |
| * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.eval.txt) | |
| ## Benchmarks | |
| | testset | BLEU | chr-F | | |
| |-----------------------|-------|-------| | |
| | Tatoeba.it.de | 49.4 | 0.678 | | |