Instructions to use WindyWord/translate-sv-guw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-guw 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-guw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-guw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c90a910941afe1c1cfad9e52317d0ef0f60b4297bd969a2afa7471b044e24f6d
- Size of remote file:
- 853 kB
- SHA256:
- 6c4dd42967f1b45f46216a0f63c0a278576907a4fe1a080fe4d25adfe2d8fd0d
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