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:
- 5a45d317737c20fcbefc63dfe027b6548c4d67bccaaf84fdad03e78b085766e4
- Size of remote file:
- 76.1 MB
- SHA256:
- b07e29757c552f31ebca04e226924ade83e9f03d565eb5122ec41f7716e63a9e
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