My Model
This is a model for predicting issue resolution times based on various features. It uses an LSTM neural network for classification.
How to use
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("xeroISB/ServiceNowMTTR")
model = AutoModelForSequenceClassification.from_pretrained("xeroISB/ServiceNowMTTR")
# Predict
predictions = model.predict(X)
Model Details
Framework: Transformers / Bert Input features: Text and numerical features Output: Duration category (short, medium, long) Performance
Precision: 0.9969 Recall: 0.9985 F1 Score: 0.9977 """
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