Instructions to use WindyWord/translate-sv-ty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-ty 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="WindyWord/translate-sv-ty")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-ty", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55ef43b288d5c38d761575d3e593cc263a8d0cff6d86687c75f45771ce92fbc1
- Size of remote file:
- 858 kB
- SHA256:
- d20cadf61c3540f4be4c9adfdc35dc52b6bc758a79e7d1b518d041a40c85395d
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