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 """

Downloads last month
11
Safetensors
Model size
109M params
Tensor type
F32
ยท
Inference Examples
Inference API (serverless) does not yet support transformers models for this pipeline type.

Space using xeroISB/ServiceNowMTTR 1