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

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'))
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.