---
license: mit
language:
- en
library_name: transformers
pipeline_tag: tabular-classification
inference: true
---
# 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

```python
import tensorflow as tf
from keras.models import load_model

# Load the model
model = load_model("my_model.h5")

# Prepare your input data (example)
# X = ...

# Predict
predictions = model.predict(X)
Model Details
```
Framework: TensorFlow / Keras / Bert
Input features: Text and numerical features
Output: Duration category (short, medium, long)
Performance

Precision: 0.9969
Recall: 0.9985
F1 Score: 0.9977
"""