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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41e50fee448ad5f60a23be19877876ecb077af7f2f2d70d27147e54d16103200
- Size of remote file:
- 1.25 kB
- SHA256:
- 79e4517a2845faec8bbdc47bbf91e2e018acf6f0672bffe0c369c29961907c7c
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