Instructions to use WindstormLabs/translate-tzo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tzo-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-tzo-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tzo-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11d391c47b37043b2353cc55e165c4382c5e5400d1666bde588420bbb459acb1
- Size of remote file:
- 750 kB
- SHA256:
- 6ed78dfd363579ae7416ca11093d96d8f1777e5708f914b1dad48497eeff5943
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