Instructions to use Helsinki-NLP/opus-mt-cpp-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-cpp-cpp 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-cpp")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-cpp-cpp") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-cpp-cpp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1b3645f12e463d9db203395fe599322f95d5d2f22f408c4f98db2aeada73925
- Size of remote file:
- 244 MB
- SHA256:
- 9909cf0327b05075c6cf43059bd7b147ffc00002917775126d71edc6512a9654
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