# Cross-domain generalization

Depth Anything is a powerful depth estimation model that unleashes the potential of depth estimation using large-scale unlabeled data.

Depth Anything is a depth estimation model that leverages large-scale unlabeled data to enhance performance, suitable for monocular depth estimation tasks.

Chinese AI-generated text detector trained using multi-scale Positive-Unlabeled method

Open-source model based on GPL-3.0 license, specific functions and uses should refer to the model documentation

A T5-large reranker fine-tuned for 10,000 steps on the MS MARCO passage dataset, excelling on non-MS MARCO datasets

This model is a fine-tuned version of Facebook's Wav2Vec2, specializing in speech recognition tasks. It was pre-trained on various speech data and fine-tuned on Librispeech, featuring strong robustness.