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:
- 0a9870dcdd986b06e1e9560699ba03338775060b62c2bbb979eb41dce94947a1
- Size of remote file:
- 47.8 MB
- SHA256:
- 4ceb20c77ffac6f9a8daa3e5a1e411238753bdc24966e756e58feb7a84aac0e7
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