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:
- 1103256ec53319cd0dd04fa935caf21e41ee9095744aa6d5c1ab186a90cd6136
- Size of remote file:
- 828 kB
- SHA256:
- 8506d53ca79b6e6a4a7a4f741dcb173be3abd311f9cd27425c497fd1232a885d
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