Instructions to use WindyWord/translate-sv-tn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-tn 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-tn")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-tn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78899a455dff821f3e69fe53806ec3717827efb962a4bfb82c97bb79d53c1b85
- Size of remote file:
- 76.8 MB
- SHA256:
- 7dc1227fb73228030faf74607a488b83964b4e047541af44227231808f2afda7
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