Instructions to use Helsinki-NLP/opus-mt-cpp-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-cpp-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-cpp-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-cpp-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-cpp-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa95f3c17279f7a2ac0a34af9ff097cecc67bf321d0c82a6681384782cead208
- Size of remote file:
- 297 MB
- SHA256:
- aaba63dec2691ad1773a4673efd1a80d60a099e90c80225911ef60d4e62e0f04
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