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:
- 79d7815f86c308b7aafec40846fbfc97905022d5bb768927b2438aedc29d69d5
- Size of remote file:
- 78.3 MB
- SHA256:
- 891daa7db9f41ff13d590ac5119b5584be00fa0d8da1439dcc05e2c0e24d65f6
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