Instructions to use WindstormLabs/translate-fr-tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-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-fr-tw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-tw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37617ec5c6d4e3106408c21147843dd1c85d8dba0e9fdaacce0b279f1e1f633a
- Size of remote file:
- 77.1 MB
- SHA256:
- f46c49c858424c978167f9bd686ed8906a46f4c0e2c41ffa820635877f0be2fd
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