Instructions to use zharry29/step_benchmark_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/step_benchmark_roberta with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/step_benchmark_roberta") model = AutoModelForMultipleChoice.from_pretrained("zharry29/step_benchmark_roberta") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c37ddaf6565a40981e9b10221386a09c2eee2fe1083d5132baae5f16332deca3
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size 498637124
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