Instructions to use YuxinJiang/unsup-promcse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuxinJiang/unsup-promcse-bert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("YuxinJiang/unsup-promcse-bert-base-uncased") model = BertForCL.from_pretrained("YuxinJiang/unsup-promcse-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7800a6b7dd6f5a89da9fe9c6e76a139d24be501531d3a36824872265e073aa50
- Size of remote file:
- 439 MB
- SHA256:
- 50acb2e244f1275a9915934c067c391b16b6fbf49ac72653028806565959face
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