Instructions to use WindstormLabs/translate-sv-lv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-lv 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-sv-lv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-lv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97f2ca7a3d240a9e4f65aefad6cf9b953b1409948fb2a78d156b05eddab2dd0b
- Size of remote file:
- 819 kB
- SHA256:
- 61b26c3e2b83c9d26026f72f17d079ed9bda6625f19c5e4516483f74a9fa574a
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