Instructions to use WindstormLabs/translate-en-sw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-sw 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-en-sw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-sw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cae38f8d744fbded8e4c2cdd519ae6485613ebe3d2d8ec1cbc11a2009e44b2a
- Size of remote file:
- 821 kB
- SHA256:
- 49d825aac86bf2083c0952b920479aa0d86376613cb9da552135723f9e6aebda
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