Instructions to use Helsinki-NLP/opus-mt-kwy-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-kwy-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-kwy-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-kwy-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-kwy-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b813d80ee7b544f463d801d37a3b0d9d03d1e02cb39e18ddaef006adb5564256
- Size of remote file:
- 302 MB
- SHA256:
- 1c95de332f7a2e9cb43c36107de11a6ae8af26b6b26fa2f1e46a72e690c13053
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