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README.md

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+---
+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'))
+```