Instructions to use WindstormLabs/translate-mh-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mh-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-mh-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mh-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87720b6a33c8e45e83e7c85391fc96a203f264da2b2d19fcf7eb2b9aacf940da
- Size of remote file:
- 675 kB
- SHA256:
- 42b3c4ef2013ae8426e1c27a188e49e3d311016054cd372188af5cd630214dae
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