How to use jgilhuly16/openeval-bert-2-23-balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jgilhuly16/openeval-bert-2-23-balanced", device_map="auto")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jgilhuly16/openeval-bert-2-23-balanced") model = AutoModelForSequenceClassification.from_pretrained("jgilhuly16/openeval-bert-2-23-balanced", device_map="auto")
loss: 0.22695857286453247
f1: 0.9312350325008553
precision: 0.9121983914209115
recall: 0.9510831586303284
auc: 0.9743160945051692
accuracy: 0.929769392033543
Files info
Base model
