Instructions to use WindyWord/translate-sl-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sl-uk 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-sl-uk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sl-uk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5848059bd5a842c997e309344861194cfb44c7c1939f879df08cee0271aba807
- Size of remote file:
- 1.04 MB
- SHA256:
- 5c33f73ad388d06d55a38eca0d776b7be6b0fdcd871a973e8df617b56e83772f
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