Instructions to use WindstormLabs/translate-tw-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tw-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-tw-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tw-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aef5979c23251f7f0e4dea73b226e3ed8d1a55e6eb30f189bdf7c232c526ad7
- Size of remote file:
- 77 MB
- SHA256:
- 9b5fa3d4ffdce36c266462dd5ac0b50b152863acfaeacd3e9ed8e466c96cf175
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