Instructions to use Helsinki-NLP/opus-mt-cau-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-cau-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-cau-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-cau-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-cau-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13a3cff74dd5490bcaefe64aa506ef174ece922eb45b066a028e92698e5f479c
- Size of remote file:
- 307 MB
- SHA256:
- bdd5c02e02b5bd0b31a7a9b72ac7ee04ac768706bab2c6797e6d23c90ff4f14b
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