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xeroISB/ServiceNowMTTR
ServiceNowMTTR is a tabular classification model from xeroISB. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This is a model for predicting issue resolution times based on various features. It uses an LSTM neural network for classification.
Downloads · 30 days
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5% of all-time downloads
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From the Hugging Face model README
This is a model for predicting issue resolution times based on various features. It uses an LSTM neural network for classification.
# 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 """