Instructions to use WindstormLabs/translate-et-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-et-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-et-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-et-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a47118aa13c5167d19f6ec02fda9ab8d84a78113314d63a8dd07f1c237f5c9d6
- Size of remote file:
- 825 kB
- SHA256:
- b05417b4c18e87989d8663eda31cf4bd869da34229fb8d44c57d9e51000799be
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