Instructions to use WindstormLabs/translate-es-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ln 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-es-ln")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ln", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd29a962f0dc94a534fc5c592cea25a17f4400965bd27c4afa703e2e6c87093b
- Size of remote file:
- 77.1 MB
- SHA256:
- 10469aaece8df2196a47c848443c7d8c8a443bd3ac3e7cab35a203fd10b14353
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