Instructions to use sec-classification/secroberta_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sec-classification/secroberta_ft with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForAverageSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sec-classification/secroberta_ft") model = RobertaForAverageSequenceClassification.from_pretrained("sec-classification/secroberta_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 042ce4a4f78602816c617864499191de74f7a8d704165824de3f8b7cadf4ce7b
- Size of remote file:
- 334 MB
- SHA256:
- a3ea6cff4ff294bd6db02d1a00758e26c32782cfdcd596b2e4809c4332564d33
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