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:
- 9a4c92ddb8085029243739723c5d5d01473ccc31dab51620d46893f49b599a73
- Size of remote file:
- 789 kB
- SHA256:
- a40c39dbb228d2308705589afbf0b990d2451980866fa3c7ec0cd6b810d7da24
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