This is an anime-style text-to-image generation model based on Stable Diffusion, specializing in producing high-quality anime images related to the 'Ascendance of a Bookworm' series.

Computer VisionDiffusersEnglish

This model is a fine-tuned speech recognition model based on jonatasgrosman/wav2vec2-large-xlsr-53-english on the ascend dataset.

Audio ProcessingTransformers

This model is a speech recognition model fine-tuned on the TIMIT dataset, achieving a word error rate of 0.4781 and a character error rate of 0.1727 on the evaluation set.

Audio ProcessingTransformers

English speech recognition model fine-tuned on the timit_asr dataset for the ascend model

Audio ProcessingTransformers

ascend is a fine-tuned model based on GleamEyeBeast/ascend, primarily used for speech recognition tasks, achieving a word error rate of 0.6412 and a character error rate of 0.2428 on the evaluation set.

Natural Language ProcessingTransformers

A fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m, trained on the ASCEND dataset

Audio ProcessingTransformers

Pangu α is a 2.6 billion parameter Chinese pre-trained language model developed by Peng Cheng Laboratory and a joint technical team, trained on 2048 Ascend processors with powerful text generation capabilities.

Natural Language ProcessingTransformers