Instructions to use WindstormLabs/translate-be-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-be-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-be-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-be-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5646d8c4948175d1e7f72061714bd58d568068ba555e03d2cb00940c23e6e30
- Size of remote file:
- 324 kB
- SHA256:
- 029812e516b8cf71f71a368f6f357c624491a9cad4d7276ffc8d189876e66c8f
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