Instructions to use WindstormLabs/translate-cs-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-cs-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-cs-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 860cfae3dbbb86dc70de9aa5c795b968739603fbf0427b2dd267366232747f2b
- Size of remote file:
- 78.3 MB
- SHA256:
- 0a6f01eea3bbcd88bfcadc2ce205bc37df20bc0b8cf6c71d86436494192dcddf
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