Instructions to use WindstormLabs/translate-tpi-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tpi-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="WindstormLabs/translate-tpi-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tpi-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f857fc49f09b3971f3b33bbdf6a0108fe71be3ddcd373f3ae94337177e7a048e
- Size of remote file:
- 72.7 MB
- SHA256:
- 3475e1cca625f288efc7f6711cfaaad9a01af5788b5988466c025cb20aad7cf4
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