Instructions to use WindstormLabs/translate-es-ty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ty 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-ty")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ty", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0050ccafd51c7704b22f5d6e3f6f681a2ca1e94a055fc3cf39798a73dedea08c
- Size of remote file:
- 76.4 MB
- SHA256:
- 1608b260bebf0454f7732a3eac17cc3c9d1ec07ff1ae15fff149e50dea747f9e
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