Instructions to use WindyWord/translate-sv-ho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-ho 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-ho")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-ho", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15f80ea5180e63e95959b7a868b747d14d34c33a13104197aa4ad734999a0d12
- Size of remote file:
- 511 kB
- SHA256:
- ab7a8ce92f179017a95be2025fd1aa3f2847ad8d433ab5c793875422c48c0c42
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