Instructions to use WindstormLabs/translate-sv-yap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-yap 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-sv-yap")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-yap", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23f56bf530548fe22b2c4df20165a939cddc2c8cec0559c4e04923395a789f56
- Size of remote file:
- 69.2 MB
- SHA256:
- 8697a03324ce84afd782bd8b6cba17c6154092eaa8d71cdf4236bb88342fd162
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