Translation
Transformers
Safetensors
cus
English
marian
windyword
cushitic-languages
somali
oromo
afar
beja
english
Instructions to use WindstormLabs/translate-cus-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-cus-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="WindstormLabs/translate-cus-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-cus-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5dd42cdd866cc8cb0079fc72ccf309dd277d755663727c2f99e97b2e2e91cd7
- Size of remote file:
- 451 kB
- SHA256:
- cac993f533fd57d4f0eee80f05406ccae3d463ff1f2968077420d76d295f8b23
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