Instructions to use GeneZC/bert-base-qnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-base-qnli with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-base-qnli") model = BertCls.from_pretrained("GeneZC/bert-base-qnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65a4260d84645d3fea816d0cfd7b8e5d5a1e3e1b39a3401c62d8c4e743d9e9fc
- Size of remote file:
- 440 MB
- SHA256:
- a148dc1e192bf57b64c2bb424f86e24cb99879253a793d2991671a822c85559e
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