Instructions to use zharry29/order_benchmark_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/order_benchmark_bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/order_benchmark_bert") model = AutoModelForMultipleChoice.from_pretrained("zharry29/order_benchmark_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2105f6ea27877437ce84e1e85dde9017be2cb44be7c5587df205b38a24fe9419
- Size of remote file:
- 438 MB
- SHA256:
- 201859fa422bbe96941b45ad2e0f930fe386ead796c63f8882e07199b5a94100
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