# End-to-End Learning

A multimodal fusion model based on WavLM and BERT, suitable for joint speech and text task processing.

ControlNet v1.1 is a conditional control model for image inpainting tasks based on Stable Diffusion.

An audio spectrogram transformer fine-tuned on the AudioSet dataset, utilizing a vision transformer architecture to process audio spectrograms, achieving excellent performance in audio classification tasks.

An audio spectrogram transformer fine-tuned on the AudioSet dataset, which converts audio into spectrograms and processes them using a vision transformer, excelling in audio classification tasks.

An audio spectrogram transformer fine-tuned on the AudioSet dataset, utilizing ViT architecture for processing audio spectrograms, achieving excellent performance in audio classification tasks.

A speech processing model based on the wav2vec architecture, with unspecified specific uses and training data

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m on the common_voice dataset