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:
- 8c171ebb236954c7c22d89452afc245297a03f58a3351118d64556497568f2d5
- Size of remote file:
- 845 kB
- SHA256:
- 500dff71e5a761f50efd17799e6e593e15b07224cf2c7bcefdb168689b43cfdf
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