Instructions to use WindyWord/translate-sv-srn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-srn 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-srn")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-srn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8f7f781bd79eaa162939dc1e98352d3de4fb090d6560e54e514236863cc5d39
- Size of remote file:
- 76.4 MB
- SHA256:
- aad843a8ed510ec0be1519a8853dbc6bd1344d186bdb766bb224eb84e77ff503
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