Instructions to use WindyWord/translate-sv-rnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-rnd 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-rnd")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-rnd", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ed7a12ac2f6e31f9fe1049e721fd24309a2144cb18083f9d60f9b255331af8f
- Size of remote file:
- 818 kB
- SHA256:
- 913d719b262dee9eec91dc5ab4a1ef0c31689a05d8ba8d5c7531dc9ebacd6e94
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