Instructions to use WindyWord/translate-tn-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tn-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="WindyWord/translate-tn-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tn-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d670a365bee0af9846001754d755f06a59b40e1b4b34054b685b6e6246f47c4
- Size of remote file:
- 76.8 MB
- SHA256:
- 2dbe8366b7676edcea9f2adb68d8a82700a84fdef3b1aaf78579014ad3a82d0a
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