Instructions to use WindstormLabs/translate-es-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-cs 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-cs")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-cs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8954ce8a5b2b29b0958c2c722cef00336ea194b2b37cd0280bd643c3601144b9
- Size of remote file:
- 826 kB
- SHA256:
- 9ef9e67ba7189d1523510f1c90c49549b763c8e757ebab19eaae8223abbfe5dd
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