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:
- 7479820171ce8f08d1d85c5ed8f342d79dd8e151b430354a3817e969633c6f71
- Size of remote file:
- 848 kB
- SHA256:
- 3b8a2e48f8b027289e2698341d7ae1f031a091260539c0505579c6158f6733a0
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