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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/step_benchmark_bert") model = AutoModelForMultipleChoice.from_pretrained("zharry29/step_benchmark_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from zharry29/step_benchmark_bert: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/zharry29/step_benchmark_bert/resolve/main/.gitattributes
- Command line
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hf download hf://zharry29/step_benchmark_bert/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/zharry29/step_benchmark_bert/resolve/main/.gitattributes
391 Bytes
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