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:
- e500f908b4357fb9cf39b2b05210be54d27730952410c2183a5f9e92835284ca
- Size of remote file:
- 868 MB
- SHA256:
- cd0be8b7ed404f338b790e3623c72aa0ef134f0538b039ca3dc841ac84e94562
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