Instructions to use WindstormLabs/translate-bem-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bem-sv 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-bem-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bem-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfe8009007536d98b862ca6529ffd4e3707dec4901fdb50f57f1b36d147543ef
- Size of remote file:
- 77.3 MB
- SHA256:
- a4f0f6e98b2702d3d287d458ce4cb4314dc959de51099e1adc94b1ac9a866a0a
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