Instructions to use WindstormLabs/translate-cs-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-cs-eo 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-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-cs-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- def08b1d7c1cbe8b65f65af1290aba2b524c02929ec70fe904d571ca7c3fd285
- Size of remote file:
- 304 kB
- SHA256:
- 99dee0635b959e0761d3d02a0e5e5a357f4af24ae15288c6515b95f76e09b730
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