Instructions to use namin0202/pna-simcse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namin0202/pna-simcse-bert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("namin0202/pna-simcse-bert-base-uncased") model = BertForCL.from_pretrained("namin0202/pna-simcse-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
48fe69f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b54624ed6cd245ae35c94b90dbf8c13889510b6d52ad29eb3631dc50eb346b47
size 2095
|