Instructions to use ffgcc/InfoCSE-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ffgcc/InfoCSE-bert-base with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("ffgcc/InfoCSE-bert-base") model = BertForCL.from_pretrained("ffgcc/InfoCSE-bert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dd2431a014cf80fc5129f882593e72efd164cc8e93f68e8ba144504f5b231c2
- Size of remote file:
- 2.1 kB
- SHA256:
- afd6299686d84f474535ca08a886bbd4d20abccf6142fc2008bd13a750366200
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