Instructions to use WindstormLabs/translate-en-ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ee 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-en-ee")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ee", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78c516cd811ddb67e542f39b01845e1ff4efe67b13b2ec1bb4b91c105a0e28a8
- Size of remote file:
- 831 kB
- SHA256:
- c66f6affa60cd6f5fb9f23277efeeb232b8d0839e5f11e9352f343a6a7dc6085
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