Instructions to use Riiid/kda-bert-large-uncased-race with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Riiid/kda-bert-large-uncased-race with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Riiid/kda-bert-large-uncased-race") model = AutoModelForMultipleChoice.from_pretrained("Riiid/kda-bert-large-uncased-race") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2994b0b4dd47f3a356c52d0ef8d13e4f450e11cc8e675fb84f4668fb31cacc6
- Size of remote file:
- 1.34 GB
- SHA256:
- 8a204c3d8547813083bde945a4f13257e0631cdeba5c059dae2105863aa5629e
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