Instructions to use WindstormLabs/translate-mfe-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mfe-en 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-mfe-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mfe-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7eb4229021f26781241a8971a37a281daf1e9b471cc570f0948e9906bca1406
- Size of remote file:
- 784 kB
- SHA256:
- 9ec1252edadffb0212084da4e9dcd67172cb0a9f23d3a1b05f170d4408758ebd
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