Instructions to use WindyWord/translate-ts-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ts-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="WindyWord/translate-ts-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ts-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c9b26e4d51d1a6b9a15f550ebf30a7bba5a7c3d73f9e7b726eb0cae3f16c1b0
- Size of remote file:
- 76.8 MB
- SHA256:
- a944e5688354ee134ee912ef5a85e6b2335586fd2f3974ff64ac23e02999892a
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