Instructions to use Helsinki-NLP/opus-mt-ceb-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ceb-fi 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-ceb-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ceb-fi") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ceb-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f996860659a1f4f2e9b2cee43901dba831503e931ff3be5f6ac015981157cc74
- Size of remote file:
- 304 MB
- SHA256:
- f5cc3a8b3b6db3e2335ad39d3dfd8b65967737274a1e4d1a49cce8e5c99f90da
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