Instructions to use ffgcc/esimcse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ffgcc/esimcse-bert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("ffgcc/esimcse-bert-base-uncased") model = BertForCL.from_pretrained("ffgcc/esimcse-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f713362087551452760e275b48a1d36ee05f2ddf20f90dbdc4f1f706e346a33
- Size of remote file:
- 878 MB
- SHA256:
- fc1e5ef843c14b07bd7b46a71d0177ac4dc043ca29aa78b597f1d6dde99486ca
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