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
- Xet hash:
- 33ab52f65262694954da1d540e739b5369e572dc05075f8cc052563c3a15b86c
- Size of remote file:
- 2.1 kB
- SHA256:
- b54624ed6cd245ae35c94b90dbf8c13889510b6d52ad29eb3631dc50eb346b47
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