Instructions to use WindyWord/translate-umb-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-umb-en 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-umb-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-umb-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37bd819e460ffc7e6581124ab96bce693c61980fc94983bc9278087c078e1b2a
- Size of remote file:
- 76.3 MB
- SHA256:
- 995cf9a6d4815b4d768d95a9c917efa9656aa542971b4126a3873b4913717fb1
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