Translation
Transformers
Safetensors
English
nic
marian
windyword
english
niger-congo
swahili
yoruba
igbo
zulu
xhosa
Instructions to use WindyWord/translate-en-nic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-nic 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-en-nic")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-nic", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaddc3ce2d244eafd7147952ca5079d7a6e737f22923239c64079cbaf693c863
- Size of remote file:
- 819 kB
- SHA256:
- c7eddd566b3558e055cce7e60a53a0e7ce31cfba524cf02018d77c8181d222fd
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