Instructions to use WindyWord/translate-sv-kg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-kg 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-sv-kg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-kg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b676e0a89ebb86df2f37164fad61e8325fe4eaa7a1d0800c71191000344e83e
- Size of remote file:
- 846 kB
- SHA256:
- 9405fb04614f7954c3f4f40edfe934f534c01eab8a6fa514eb6eaef26d228c6f
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