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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18dbf22f1cb65b43fa33c789c8181fc8661cf7596713e6aa9a9db0fe441efc98
- Size of remote file:
- 303 MB
- SHA256:
- 4abc6ef17d018de8734592f727357124ef1d60b6ff96c68111b87308e51281d2
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