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
File size: 293 Bytes
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"eos_token_id": 0,
"forced_eos_token_id": 0,
"max_length": 512,
"num_beams": 4,
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"renormalize_logits": true,
"transformers_version": "4.32.0.dev0"
}
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