Instructions to use WindstormLabs/translate-tr-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tr-es 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-tr-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tr-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cddf5e4c5e2541dcb8c598ae96763aa468893e25fac95fbabe0584c2fc6021b3
- Size of remote file:
- 840 kB
- SHA256:
- 7fc44d4bfebd7591e6255ac62f6145d54920090b9b12661c7a99b54ef924c833
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