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:
- 8ec56a2e6693e87a81fb3750de9388e4dab54e04e1acd79f159516531e56515d
- Size of remote file:
- 802 kB
- SHA256:
- 200980535cb47fc63a8d34c45ddc0f74c9fae39b025d31bdf4dd8803bee76f53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.