Instructions to use WindyWord/translate-tzo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-tzo-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tzo-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfa13ef5b579cbf9ede08aa8c6f49038b1dc7b1ff8fb004add4b1a62ca7d75fc
- Size of remote file:
- 74 MB
- SHA256:
- 493773f24d6742c02f5f7e1ee83a2523967ab74ce7e881961a20bb534596c15a
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