QUBUHUB/distilbert-onnx-banking77

By QUBUHUB · ↓ 11 · ♥ 0 · Updated 2026-03-09

What's in this repo

This page lists the files in QUBUHUB/distilbert-onnx-banking77, including model.onnx.

1 ONNX models (.onnx files)
10 files, including 4 .json, 2 .txt, 1 .md, 1 .py, 1 .onnx
Last updated 2026-03-09

ONNX files

File	Size	Download
model.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

Optimized and Quantized DistilBERT with a custom pipeline with handler.py

NOTE: Blog post coming soon

This is a template repository for Text Classification using Optimum and onnxruntime to support generic inference with Hugging Face Hub generic Inference API. There are two required steps:

Specify the requirements by defining a requirements.txt file.
Implement the handler.py __init__ and __call__ methods. These methods are called by the Inference API. The __init__ method should load the model and preload the optimum model and tokenizers as well as the text-classification pipeline needed for inference. This is only called once. The __call__ method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.

add

library_name: generic

to the readme.

note: the generic community image currently only support inputs as parameter and no parameter.

Model info

text-classification generic

generic onnx text-classification endpoints-template optimum endpoints_compatible region:us

↓ 11 ♥ 0

Created: 2026-03-09

Updated: 2026-03-09

View on Hugging Face

Files (10)

.gitattributes

README.md

config.json

handler.py

model.onnx ONNX

requirements.txt

special_tokens_map.json

tokenizer.json

tokenizer_config.json

vocab.txt

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