Instructions to use WindstormLabs/translate-ts-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ts-fr 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-ts-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ts-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db9b74e8a5e9881ad14254a06d63dc79ee22997304cb079783cd96ff300d3eab
- Size of remote file:
- 830 kB
- SHA256:
- e905dfb1e2a4a2e91ea359fc5c1516fd83ac3abd40844bb06dc7dc8a99f85c43
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