Instructions to use WindstormLabs/translate-es-tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-tw 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-tw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-tw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fb7ea90e6faf5d6665ce4f96abab7e4f83e0d9a03fe34f3614ba576f73f5278
- Size of remote file:
- 77 MB
- SHA256:
- 18c850494afbd859935cdac95b18ee8450298bd2f51dcad4c1751eb2dba16aab
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