Instructions to use WindstormLabs/translate-en-ng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ng 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-ng")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ng", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 201bd8205f3698e659f0c8a32872fdc9f80397707221e1af37e41c8a62cb5b17
- Size of remote file:
- 657 kB
- SHA256:
- 2f99135eddef7576a4155337b18996e24fee471f2b4cc18c242251075517502d
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