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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a319f107ab0a979a14ad9ab8f88481c5576fba4b9db80082186026aaa5f7a63a
- Size of remote file:
- 298 MB
- SHA256:
- 5c4d8e0055c3532b45b8aad1d0bb86aedddd86c77577dd02c696552c550daf08
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