Instructions to use Helsinki-NLP/opus-mt-de-gaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-gaa 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-gaa")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-gaa") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-gaa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b1d829144782680fdfb58105fc03a42e4b6424f21582074d4f921361204cf3f
- Size of remote file:
- 303 MB
- SHA256:
- 2c6d0c0424ef03f8aa1fc0ab4198c060b714ca871dd7cc84331516412247baac
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