Update README.md

README.md

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----
-license: unknown
----
+---
+library_name: transformers
+tags:
+- text-classification
+- bert
+- query-routing
+- sklearn
+- mlp
+license: unknown
+language:
+- en
+pipeline_tag: text-classification
+---
+# Freakdivi – BERT Query Router
+
+## Model Description
+
+A BERT-based sequence classification model that routes natural-language queries into predefined categories.  
+The model encodes each query with **bert-base-uncased** and feeds the `[CLS]` embedding to a scikit-learn MLP classifier.
+
+This repository contains:
+
+- `mlp_query_classifier.joblib` – trained MLP classifier
+- `scaler_query_classifier.joblib` – feature scaler used on BERT embeddings
+- `label_encoder_query_classifier.joblib` – maps class indices ↔ string labels
+- `inference.py` – handler used by Hugging Face Inference Endpoints
+
+> ⚠️ **TODO:** Replace the task + label descriptions below with your actual ones.
+
+---
+
+## Task
+
+**Multi-class text classification / query routing**
+
+Given an input query, the model predicts one of *N* categories, such as:
+
+| ID | Label        | Description                              |
+|----|--------------|------------------------------------------|
+| 0  | `LABEL_0` 📝 | *TODO: short description of label 0*    |
+| 1  | `LABEL_1` 📝 | *TODO: short description of label 1*    |
+| 2  | `LABEL_2` 📝 | *TODO: short description of label 2*    |
+| 3  | `LABEL_3` 📝 | *TODO: add/remove rows as needed*       |
+
+You can get the exact list of labels by checking the `label_encoder_query_classifier.joblib` in code:
+
+```