README.md

---
language: en
license: apache-2.0
tags:
- sentence-classification
- banking
datasets:
- banking
---

# Banking Sentence Classifier

This is a sentence classification model for identifying relevant banking sentences.

## Model Details
- Base Model: sentence-transformers/all-MiniLM-L6-v2
- Task: Binary Classification (Relevant/Irrelevant Banking Sentences)

## Usage
```python
from transformers import AutoTokenizer
from sentence_transformers import SentenceTransformer
import torch
import joblib

# Load models
tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
base_model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
classifier = ClassificationHead(base_model.get_sentence_embedding_dimension(), num_classes=2)
classifier.load_state_dict(joblib.load('classifier_state.pth'))
```