Instructions to use Helsinki-NLP/opus-mt-uk-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-uk-fr 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-uk-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-uk-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-uk-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 594b59d2883ae69342417179dbf10e945c98bcff5cb9d8e41793b7d35506169e
- Size of remote file:
- 306 MB
- SHA256:
- bb6107c0e7f5a7fe224f79beaf04fedb6e6412e975ec5f302b1338eac0dba976
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