Instructions to use WindstormLabs/translate-sv-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-hr 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-hr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-hr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eeae466f3cd5cdbdf1b578e82e1df3b78968e3f26694633885ea09f22ebea71a
- Size of remote file:
- 806 kB
- SHA256:
- ef4390e80fe90aabfe046275aa0ded5e72ba7f9efe8f0acef7180e7435fbf313
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