Instructions to use WindstormLabs/translate-st-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-st-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-st-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-st-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac98eea0c20d8548c93040050ceb46b2fe016c454e6ae347cd4c7cfa54581974
- Size of remote file:
- 77.1 MB
- SHA256:
- 4fe84c69f779e868c3c8af1acd5e400d183f43b758c32cd01420f3fd38920339
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