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
File size: 147 Bytes
c3a8d06 | 1 2 3 4 5 6 7 8 9 | auprc = 0.8980205456601322 auroc = 0.9242321267258466 eval_loss = 0.568679764738986 fn = 285 fp = 345 mcc = 0.6940210520071152 tn = 1903 tp = 1602 |