Instructions to use WindstormLabs/translate-id-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-id-sv 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-id-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-id-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0762e3485bb8275e5f99e563ec1ba2b23522793414b8998d38a1136de94cff1a
- Size of remote file:
- 805 kB
- SHA256:
- ac2b2d725c5555bc6e380fc4e9e72586da2815481b31d501e3547b5b63168b30
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