Instructions to use WindstormLabs/translate-en-ga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ga 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-ga")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ga", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcae8831ce1a902e814b7ba18b10988150688a53a2d543dd4fb00752a3d0cd69
- Size of remote file:
- 803 kB
- SHA256:
- c77ff6c8598b536416ef87a841a58fe440c1eb1cd32085fe137dd4a434d94cdd
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