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:
- 73fb6192f3b38cbc7d260bc624cc96b7236aabff723b55ce3c16acbbdb9b6e1e
- Size of remote file:
- 834 kB
- SHA256:
- 726e1f805e89442170968903302bd10c53c1c822db14128bc5b3b0776ef72acc
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