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:
- 6436d5f4be6f9e9fa516a2464138fbd88ff5bd9005e099ca8e0bd9171342e7f1
- Size of remote file:
- 454 kB
- SHA256:
- d18d9d9b3bfcbf4f2e30b8a09dfca708700f5ed56a246015449e64fe512480b5
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