# High Accuracy Recognition

TrOCR is a Transformer-based optical character recognition model designed to extract text content from images.

This is a Transformer-based OCR model specifically designed for recognizing Persian text in images.

A bird image classification model based on Swin Transformer architecture, fine-tuned on bird datasets with an accuracy of 82.15%

A binary classification model trained with AutoTrain, capable of accurately distinguishing between images of cats and dogs

A branch model based on microsoft/trocr-base-printed, specializing in OCR tasks for printed text.

Zabanshenas is a Transformer-based solution for identifying the most probable language of written documents/text.

This model is an automatic speech recognition (ASR) model fine-tuned on the librispeech_asr-clean dataset, based on wav2vec2-large-lv60 and bart-large