Instructions to use WindstormLabs/translate-ms-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ms-ms 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-ms-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ms-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bb77c9a208837e6596c0d8489975bdad1a2ff480fd0edd1bad471854bd2d1f8
- Size of remote file:
- 305 kB
- SHA256:
- dcb57d976dafd8b689e4cd0458c2f46f21375bc4a8352e33f70f7870ffb7e583
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