Instructions to use zharry29/step_benchmark_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/step_benchmark_bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/step_benchmark_bert") model = AutoModelForMultipleChoice.from_pretrained("zharry29/step_benchmark_bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
120d6fc
1
Parent(s): 164e657
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca9f660cbcc2cce91983f22d0500c832fc7ea798743236852782c68a6669dfd1
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size 437939252
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