How to use jgilhuly16/openeval-bert-2-23-balanced-large 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-large")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jgilhuly16/openeval-bert-2-23-balanced-large") model = AutoModelForSequenceClassification.from_pretrained("jgilhuly16/openeval-bert-2-23-balanced-large", device_map="auto")
loss: 0.1859694868326187
f1: 0.931497175141243
precision: 0.9414703783012134
recall: 0.9217330538085255
auc: 0.9777649833159241
accuracy: 0.9322152341020266
Files info
Base model
