Instructions to use UKP-SQuARE/spanbert-base-cased-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UKP-SQuARE/spanbert-base-cased-onnx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UKP-SQuARE/spanbert-base-cased-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1a90b0d96a2c8b28575243f6d1e39eef55149fb1c3abde8502f6b6906135367
- Size of remote file:
- 109 MB
- SHA256:
- 1b51bd099abbfdd400e687e7eb78ffc367f2705c3bdd06f8f3b4072ee3c597ce
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