State-of-the-Art Machine Learning Models for Text, Image, Audio, Video, and Multimodal Tasks
The Transformers library by Hugging Face provides thousands of pretrained models to perform tasks on texts, images, and audio. These models can be used for various applications such as text classification, information extraction, question answering, summarization, translation, image classification, and audio classification. The library is compatible with PyTorch, TensorFlow, and JAX, offering seamless integration into diverse machine learning workflows.
State-of-the-Art Machine Learning Models for Text, Image, Audio, Video, and Multimodal Tasks
The Transformers library by Hugging Face provides thousands of pretrained models to perform tasks on texts, images, and audio. These models can be used for various applications such as text classification, information extraction, question answering, summarization, translation, image classification, and audio classification. The library is compatible with PyTorch, TensorFlow, and JAX, offering seamless integration into diverse machine learning workflows.