How to use roncc13/autotrain-ixzm9-t6dbc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roncc13/autotrain-ixzm9-t6dbc")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roncc13/autotrain-ixzm9-t6dbc") model = AutoModelForSequenceClassification.from_pretrained("roncc13/autotrain-ixzm9-t6dbc", device_map="auto")
loss: 0.32184091210365295
f1: 0.9333333333333333
precision: 0.8974358974358975
recall: 0.9722222222222222
auc: 0.9890046296296297
accuracy: 0.9305555555555556
Files info
Base model
