Instructions to use GeneZC/bert-large-qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-qqp with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-qqp") model = BertCls.from_pretrained("GeneZC/bert-large-qqp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdc5d797cd9eb46ebf1338c244bb6ab081b971718629c61b19929ddd4729f46d
- Size of remote file:
- 1.34 GB
- SHA256:
- 68b835df3d660b7642ea044a8e20005c096ec7462f95a4dcdad635d6b70eadb1
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