Instructions to use Helsinki-NLP/opus-mt-lua-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-lua-sv 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-lua-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-lua-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-lua-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33e3787bdb8bd2797a9caea30d045c7abb2e957b6de7cacf09b369e2106ca2d8
- Size of remote file:
- 303 MB
- SHA256:
- f76a4ff36c0aedb4834b1e129c0a7bbc4b3c5212f5007a350701335353a69080
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