Instructions to use Helsinki-NLP/opus-mt-de-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-ms 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-de-ms")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-ms") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-ms", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
set `renormalize_logits=True` for better performance (see `transformers` issue #4290)
93918b3
-
Adding generation config file(s)
08f1561
-
Add TF weights
Joao Ganteb777110
-
Changed num_beams to 4
7431497
-
Update README.md
0dd93bb -
Update README.md
3321e7e -
Update metadata.json
0220e0d
-
Update README.md
ed6dfcf -
Update config.json
10399ca -
Update metadata.json
342e6e9 -
Update tokenizer_config.json
8e63d8e -
Update vocab.json
4e5079d -
Update README.md
0e159d0 -
Update metadata.json
5c9c9bb -
Update README.md
d06199e -
Update config.json
e6adc8a -
Update metadata.json
173ca23 -
Update pytorch_model.bin
748d4cb -
Update source.spm
88b5817 -
Update target.spm
6ad0915 -
Update tokenizer_config.json
1e19d61 -
Update vocab.json
8d96014 -
initial commit
91d3444