Instructions to use WindstormLabs/translate-es-et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-et 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-es-et")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-et", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d98b93940399a0b431cd621fa4b5be860493a79d219399f201b151de62a1b6f
- Size of remote file:
- 825 kB
- SHA256:
- 4444df2fa1d154754c5a986c1a83327cde96b2ee9e9045731bb3e1e5840f4488
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