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

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