philschmid / distilbert-onnx-banking77

huggingface.co
Total runs: 673
24-hour runs: -18
7-day runs: 19
30-day runs: 446
Model's Last Updated: October 01 2022
text-classification

Introduction of distilbert-onnx-banking77

Model Details of distilbert-onnx-banking77

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:

  1. Specify the requirements by defining a requirements.txt file.
  2. 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.

Runs of philschmid distilbert-onnx-banking77 on huggingface.co

673
Total runs
-18
24-hour runs
-19
3-day runs
19
7-day runs
446
30-day runs

More Information About distilbert-onnx-banking77 huggingface.co Model

distilbert-onnx-banking77 huggingface.co

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distilbert-onnx-banking77 install

distilbert-onnx-banking77 is an open source model from GitHub that offers a free installation service, and any user can find distilbert-onnx-banking77 on GitHub to install. At the same time, huggingface.co provides the effect of distilbert-onnx-banking77 install, users can directly use distilbert-onnx-banking77 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

distilbert-onnx-banking77 install url in huggingface.co:

https://huggingface.co/philschmid/distilbert-onnx-banking77

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