Instructions to use WindstormLabs/translate-cs-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-cs-de 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-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-cs-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a294ca8838de005f0adeba7932d92eda7f05a3710b623e89f0c7e706fdfd117
- Size of remote file:
- 76 MB
- SHA256:
- c507bee80eae28e378801b1eea6fe7848bbe61d37761ca93721fc305cd4513d7
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