# Pre-trained model fine-tuning

An English accent classification model based on facebook/wav2vec2-base-960h, capable of recognizing five common English accents: American, English, Indian, Australian, and Canadian.

TrOCR is a Transformer-based optical character recognition model, specifically designed for single-line text image recognition, fine-tuned on multiple standard datasets.

This is a BART model fine-tuned on the English WikiLingua dataset, primarily used for research on summarization task performance.

This model is a zero-shot classifier trained on bertin-roberta-base-spanish, suitable for Spanish text classification tasks.

This is a Hungarian named entity recognition model based on the huBERT pre-trained model, capable of identifying entities such as persons, locations, and organizations in text.

A speech classification model fine-tuned on the SUPERB keyword spotting task, based on the Wav2Vec2-Large-LV60 pre-trained model