Instructions to use WindyWord/translate-sv-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91115720689625803968dbea1bb53b2d1e20c256b9fba968cee9b5c93b175ecc
- Size of remote file:
- 825 kB
- SHA256:
- ddf1f5699f8afcd6756c5a52026ec4e003a363db0206de4e8737709c7d1ab6a4
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