---
license: mit
datasets:
- roundspecs/tech_product_search_intent
language:
- en
metrics:
- f1
base_model:
- microsoft/MiniLM-L12-H384-uncased
pipeline_tag: text-classification
---

# Example
```py
>>> from transformers import pipeline

>>> pipe = pipeline("text-classification", model="roundspecs/minilm-finetuned-intent-classification")
>>> pipe("smartphone for gaming under 5090")
    [{'label': 'semantic', 'score': 0.8665100932121277}]
```