Instructions to use microsoft/unilm-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unilm-base-cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/unilm-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7efb35ee15f1e0c8e630fd6b6289f40711fba80a8d7a068d0504581618698dc
- Size of remote file:
- 218 MB
- SHA256:
- ae1d6058a7a2056bceb19c21b70346d98423807c8e1ec950179a4eb99804516e
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