How to use jgilhuly16/openeval-deberta-long with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jgilhuly16/openeval-deberta-long")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jgilhuly16/openeval-deberta-long") model = AutoModelForSequenceClassification.from_pretrained("jgilhuly16/openeval-deberta-long")
loss: 0.19243484735488892
f1: 0.9402777777777778
precision: 0.9344375431331953
recall: 0.9461914744933613
auc: 0.9790224542805533
accuracy: 0.9399021663172606
Files info
Base model
