Instructions to use WindyWord/translate-tn-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tn-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-tn-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tn-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e590d0b20f636e62a514bab306faac0bf5fa64c61142109c352800bd98b4189
- Size of remote file:
- 826 kB
- SHA256:
- 243920631fb4832135f52ea6b3a7b6a6affa46905001dc2f7cd1aa96e0892468
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