Instructions to use WindstormLabs/translate-cs-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-cs-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-cs-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-cs-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e95cd28559fd4008a53d213e05a53f8256c63149a0420fc80fa9bc64f765797
- Size of remote file:
- 807 kB
- SHA256:
- 96240d3472fd50918088ad5b39b1680ff725094458fa85a2ee07e0cf89aff1ce
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