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:
- 395b42af5bef579dcf96e39b8866c9f5f16eb376d47a2aa64fa0a11083d7f5d8
- Size of remote file:
- 57.9 MB
- SHA256:
- 3deb038c0fcd04152461ccef51d31f1052803f90b05d60bfa52e6d86582852c1
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