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:
- f59618b0ed2a7133f4679ccd3fd0f7f30b6a77f23a7b8e3370998927df5b4f3a
- Size of remote file:
- 57.9 MB
- SHA256:
- e1677f5ee2c246d5239a9496aaf83ce259fea70a3fd4ed1da6453b544be192b9
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