Instructions to use WindstormLabs/translate-sv-toi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-toi 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-sv-toi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-toi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed594e9f7a66b9ff6912067f0b30c6628a29e7f24944fc15efcadab5fdaf3582
- Size of remote file:
- 853 kB
- SHA256:
- 4f403d45bf2a6a351589f938b53c03e553652fdfdb397918c48b47e9b0933e84
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