Instructions to use WindstormLabs/translate-en-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-cs")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-cs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3976b5bdcf813b75ca1adda75113c89269d6b47d340f464792d83b44af7d93a9
- Size of remote file:
- 78.3 MB
- SHA256:
- 40f34b96bdd5bc111eff3bd4ce76062a3fd3e8e2791480855f8ec94e8d2debe4
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