ONNX Model Zoo

Intel/bert-mini-sst2-distilled-sparse-90-1X4-block

By Intel · ↓ 7 · ♥ 1 · Updated 2022-11-23

What's in this repo

This page lists the files in Intel/bert-mini-sst2-distilled-sparse-90-1X4-block, including int8-model.onnx.

  • 1 ONNX models (.onnx files)
  • 11 files, including 4 .json, 2 .bin, 1 .md, 1 .onnx, 1 .yaml, 1 .txt
  • Last updated 2022-11-23

ONNX files

File Size Download
int8-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

Sparse BERT mini model (uncased)

Finetuned model pruned to 1:4 structured sparsity. The model is a pruned version of the BERT mini model.

Intended Use

The model can be used for inference with sparsity optimization. For further details on the model and its usage will be soon available.

Evaluation Results

We get the following results on the sst2 tasks development set:

Task SST-2 (Acc)
87.2
Better than dense bert mini which is 84.74%.

Model info

text-classification transformers
transformers pytorch onnx bert text-classification license:mit text-embeddings-inference endpoints_compatible region:us
↓ 7 ♥ 1

Created: 2022-08-16

Updated: 2022-11-23

View on Hugging Face

Files (11)

.gitattributes
README.md
config.json
int8-model.onnx ONNX
pytorch_model.bin
sparse_int8_ir/conf.yaml
sparse_int8_ir/model.bin
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.txt

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