Translation
Transformers
PyTorch
TensorFlow
American Sign Language
German
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-ase-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ase-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="Helsinki-NLP/opus-mt-ase-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ase-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ase-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0811cfbbecdfabaf3a08ab4ef587f64267a6faceb1653a435ea72d4a06a2c61
- Size of remote file:
- 289 MB
- SHA256:
- e2a0cac37d4611f572f1669f8ffd386618e8118df6ac6f62d665ad066f1c66d0
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