Instructions to use WindstormLabs/translate-es-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-sm 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-sm")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-sm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34286d403729980aafb04fd68e4594dfbc1caebdd8eec9ec72f6d0b8a8fbbaa0
- Size of remote file:
- 767 kB
- SHA256:
- 7ec3b12d45d6e5e020353a6d5383155e767f57b7425c9eddc6046e92789df9c5
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