Instructions to use WindstormLabs/translate-es-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1bf2ba6b37fb79fb457eb392207a456e6a050ad436e15627707f8e13a15e2b9
- Size of remote file:
- 812 kB
- SHA256:
- 74ffc930c4af87e3bdec6dde479eb36f05152e1a657ec65dfb923baf4b5d27a9
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