Translation
Transformers
Safetensors
English
cus
marian
windyword
english
cushitic-languages
somali
oromo
afar
beja
Instructions to use WindstormLabs/translate-en-cus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-cus 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="WindstormLabs/translate-en-cus")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-cus", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e447c960597cccadc1ef1e16a487a4a18a8262a1e584106c7b6adc2c89afca12
- Size of remote file:
- 451 kB
- SHA256:
- fc86b486b1da9e191c3904da56d95b32fe44b907c51eaf4f6953c344e2688f46
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