Instructions to use WindyWord/translate-es-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-wls 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-es-wls")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-wls", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 903a5ad21d8e6d06c6a16a686461390aefc5f423f4c5a449e4d83e30485f5748
- Size of remote file:
- 837 kB
- SHA256:
- c470deec485641bfd0768cb594a96afa128b1f283a6000e0f1e6799ddb5f6aeb
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