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:
- c786cf23cf081cacaadaa12f1a08e7194b9b48e488bb07cdd67653c0e63aa69c
- Size of remote file:
- 790 kB
- SHA256:
- 01d2ea871fe6a4d9f4363901dfb67c18af1fb3b1797b5cc40ddcee2dd96855de
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