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: 134 Bytes
48fe69f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:16c5d3e54a49ce0c6c0a382525355ba9a6a5db0f9cb504bd1421ec54ed7a4eb3
size 438012465
|