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---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
library_name: sentence-transformers
---
# splore/navigational-vs-transactional-vs-informational-classifier
Query classification model trained using Metaflow.
## Query types
1. Navigational
2. Transactional
3. Informational
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("splore/navigational-vs-transactional-vs-informational-classifier")
predictions = model.predict(["What type of query is this?"])
probabilities = model.predict_proba(["Predictions with probabilities"])
```
## Evaluation
Tests have only been done on a small dataset of 40 manually created queries.
|metric |value|
|-----------|-----|
|accuracy |0.942|
|exact match|0.875|
 |