Instructions to use amanda-901014/deberta-hard-2324 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amanda-901014/deberta-hard-2324 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amanda-901014/deberta-hard-2324")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amanda-901014/deberta-hard-2324") model = AutoModelForSequenceClassification.from_pretrained("amanda-901014/deberta-hard-2324", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| auprc = 0.8980205456601322 | |
| auroc = 0.9242321267258466 | |
| eval_loss = 0.568679764738986 | |
| fn = 285 | |
| fp = 345 | |
| mcc = 0.6940210520071152 | |
| tn = 1903 | |
| tp = 1602 | |