laszlokiss27/fixmygrammar

By laszlokiss27 · ↓ 2 · ♥ 0 · Updated 2024-07-12

What's in this repo

This page lists the files in laszlokiss27/fixmygrammar, including decoder_model.onnx, encoder_model.onnx, encoder_model_quant.onnx and more.

5 ONNX models (.onnx files)
16 files, including 5 .json, 5 .onnx, 2 .py, 1 .md, 1 .bin
Last updated 2024-07-12

ONNX files

File	Size	Download
onnx/decoder_model.onnx	—	Download
onnx/encoder_model.onnx	—	Download
onnx/encoder_model_quant.onnx	—	Download
onnx/init_decoder_model.onnx	—	Download
onnx/init_decoder_quant.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

T5-Efficient-TINY for grammar correction

This is a T5-Efficient-TINY model that was trained on a subset of C4_200M dataset to solve the grammar correction task in English. To bring additional errors, random typos were introduced to the input sentences using the nlpaug library. Since the model was trained on only one task, there are no prefixes needed.

The model was trained as a part of the project during the Full Stack Deep Learning course. ONNX version of the model is deployed on the site and can be run directly in the browser.

Model info

transformers

transformers pytorch onnx t5 text2text-generation grammar-correction en dataset:c4_200m license:mit text-generation-inference endpoints_compatible region:us

↓ 2 ♥ 0

Created: 2024-07-12

Updated: 2024-07-12

View on Hugging Face

Files (16)

.DS_Store

.gitattributes

README.md

config.json

onnx/decoder_model.onnx ONNX

onnx/encoder_model.onnx ONNX

onnx/encoder_model_quant.onnx ONNX

onnx/init_decoder_model.onnx ONNX

onnx/init_decoder_quant.onnx ONNX

ort_config.json

pytorch_model.bin

scripts/gen.py

scripts/quantifiy.py

special_tokens_map.json

tokenizer.json

tokenizer_config.json

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