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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 223a7604caaab7e27b8d2fc60ad05588cdd0741be9a350eac51936efdb0a90b7
- Size of remote file:
- 1.2 GB
- SHA256:
- 53f47da17ed2ada9ae824d2ce702076569a68b9ae094398ec9c8954df7ca6260
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