Instructions to use WindstormLabs/translate-sv-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-ln 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-ln")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-ln", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7dd412a27636078901b91f93140df409bec4c64813bdf0673e64d44cee4178e6
- Size of remote file:
- 76.9 MB
- SHA256:
- 75b0fc3f79e24ec1a565084362214d05558f9fabe29aad62a08ef010b2e47605
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