Instructions to use WindstormLabs/translate-en-sk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-sk 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-sk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-sk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 295239810d0042b736ef7d1a4c31ed5ed99b09d2023ba629842a45c9817ee6bd
- Size of remote file:
- 790 kB
- SHA256:
- 5c99b71996bd305cc2e602ff498b6232d97c2c8fc650c7797b8a6fcc71b2bc8e
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