Translation
Transformers
Safetensors
nic
English
marian
windyword
niger-congo
swahili
yoruba
igbo
zulu
xhosa
english
Instructions to use WindyWord/translate-nic-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-nic-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="WindyWord/translate-nic-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-nic-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e5f517ef6cbb94ee5dc9cf210bad0c4b628d76154d1586b0514ea8c45147433
- Size of remote file:
- 784 kB
- SHA256:
- 5ee38df7ea98c7101d09efd9f1367a45f3ed40dd32a0b622cc036a8ae84a1924
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