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:
- 2d322375d530d270ac8ca0dce958ec73d86425cdf3cf82bd407a0b1e78cec09c
- Size of remote file:
- 77.1 MB
- SHA256:
- f8c4b53a5f0a4fdcf70989bb0d2c5e2e72ba6bcb4bc373bca75b944b467973a8
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