Instructions to use optimum/bert-base-uncased_SWAG-neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/bert-base-uncased_SWAG-neuronx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("optimum/bert-base-uncased_SWAG-neuronx") model = AutoModelForMultipleChoice.from_pretrained("optimum/bert-base-uncased_SWAG-neuronx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e89974c83b8f4b6add2f994d0ca80469d575b5130add9b18e1262280ab09e609
- Size of remote file:
- 407 MB
- SHA256:
- c464b5edc20b402c1d0b689507715c26585cf0b43544764a767e7ba4e0947c9a
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