Instructions to use WindyWord/translate-en-umb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-umb 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-en-umb")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-umb", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a835832e9f01c628eb3211556b12600d702efba381eec5708c92a7ca46f3696
- Size of remote file:
- 76.3 MB
- SHA256:
- 612c4eae668003deedada9ace5022fbc73debfb1572ef6a1ccd40960b57d4af1
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