Instructions to use WindyWord/translate-cs-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-cs-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-cs-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05e424b6dde338f116c9f1cb4b6019038073fcc564c9dbc9976eab9e7a89abfc
- Size of remote file:
- 823 kB
- SHA256:
- b7bd1556ea7c8357195d8bfda93573d3fa5823c2e53129827e38e454d485c627
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