Instructions to use WindstormLabs/translate-sv-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-run 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-run")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-run", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d80a2117ec5648845c192074f0c63e79f0524be782ea04943bb8d606bc41a4b8
- Size of remote file:
- 855 kB
- SHA256:
- 4c66c3e0a8000b7121d94971c2e9115597d7c1ff42f9383bd17934f3ad54f923
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