Instructions to use WindstormLabs/translate-ln-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ln-es 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-ln-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ln-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 324e748ccee646a796d473ffebff1d42509de1febf66540b9d52c8e1f9846178
- Size of remote file:
- 77.1 MB
- SHA256:
- ef8172266ce27fbb3ec5cd1c7aad56eaecc05fa8cd611ac078a2cf22678d5755
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