# Zero-shot transfer learning

LMMRotate is a fine-tuned large multimodal language model specifically designed for rotating object detection tasks, particularly suitable for aerial image analysis.

Audio classification model pre-trained on AudioSet and Librispeech, using vision transformer architecture to process audio spectrograms

This is a multi-class image classification model trained via AutoTrain, demonstrating outstanding performance on the validation set with all evaluation metrics reaching 1.0.

mT5 is the multilingual variant of the T5 model, supporting 101 languages, pretrained on the mC4 corpus, suitable for multilingual text generation and understanding tasks.

This model is based on the pre-trained Wav2Vec2-Large-LV60 model and fine-tuned on the CommonVoice dataset for multilingual phoneme recognition.

This model is a multilingual phoneme recognition model fine-tuned on the CommonVoice dataset based on the wav2vec2-large-xlsr-53 pre-trained model, supporting the recognition of phoneme labels in multiple languages.