Instructions to use WindstormLabs/translate-en-tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-tw 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-tw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-tw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6a6a6dcf21e3ef3033e03bdac6432cd3535417a8cee7e39c3db3cf040daee37
- Size of remote file:
- 823 kB
- SHA256:
- 36d34adf713a24a95f9914878a8b960c01df0bf7ca15083d12e045aa4878c446
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