Instructions to use WindstormLabs/translate-es-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8705c28ce22a09ab7328febd6cc65fcf77db0aca72cfc51d0b74e85161318943
- Size of remote file:
- 813 kB
- SHA256:
- a652ee6742c449ef9fe818fd699d48637686bdb31fc30fbf38371bf2a6a58a5c
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