Instructions to use GeneZC/bert-large-qnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-qnli with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-qnli") model = BertCls.from_pretrained("GeneZC/bert-large-qnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bcd7b8a43720ba5a5bc0941708e34a8d0f4e19e8d723a9004d7acfa49d3c597
- Size of remote file:
- 1.34 GB
- SHA256:
- 860a242206e23742bb905c813fe004aa1c35fa3c96499f5842adebb44f718842
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