Instructions to use Helsinki-NLP/opus-mt-en-ceb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-ceb 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-en-ceb")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-ceb") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-ceb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 635ca153673400181604ecf5796d229c6c792745f3676bc22227eb6d6d078dff
- Size of remote file:
- 295 MB
- SHA256:
- f16505bce90d77be57d28a2f2aed1f55a257bc9ed9442cc102375190ddf7d7dd
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