Instructions to use WindstormLabs/translate-et-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-et-fi 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-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-et-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 763247d1724240b40806ab875e3d41254fe9a88d776931d9c65246a446113838
- Size of remote file:
- 76 MB
- SHA256:
- 4f8b37ce423f6734956ca23d01a4236c5d3588855f5f6f9ee1d8c1f6d2c0788e
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