Average Model Cost: $0.0000
Number of Runs: 163,116
Models by this creator
The tiny-random-T5ForConditionalGeneration-calibrated model is a text-to-text generation model that has been trained to generate text based on given input. It is a calibrated version of the model, meaning that it has been fine-tuned to improve the quality and reliability of the generated text. This model can be used for various natural language processing tasks, such as text summarization, translation, question answering, and more.
The model "hubert-tiny-random" is a feature extraction model trained by randomly initializing the weights. It is a smaller version of the Hubert model and is used for extracting acoustic representations from speech data. It is designed to generate compact features that can be used as input for downstream tasks such as automatic speech recognition or speaker recognition.