Instructions to use WindstormLabs/translate-mt-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mt-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-mt-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mt-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5677b528c33ed9e1c9093a657bb8e669d4092be3c18fd266c4a00de21efb0935
- Size of remote file:
- 789 kB
- SHA256:
- 8a175fcce5ecde9617e2c7faca2a994764b06c6b4bac4a4772f4b5b99887d6c6
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