Instructions to use sec-classification/securebert_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sec-classification/securebert_ft with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForAverageSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sec-classification/securebert_ft") model = RobertaForAverageSequenceClassification.from_pretrained("sec-classification/securebert_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d34998947029d491edcb1f245e1ae12f03ba57f5cf05932e6b745e436efe465
- Size of remote file:
- 499 MB
- SHA256:
- 3cd7d15815ccb019f49f1aea7f8c276d67cf59e193444051dade57c4894238ad
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