Randomly Initialized Models Collection Randomly Initialized Models are machine learning models where the initial parameters, such as weights and biases, are assigned random values. • 6 items • Updated 11 days ago • 1
Qwen2.5 Collection Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B. • 43 items • Updated 11 days ago • 699
SpeechT5 Collection The SpeechT5 framework consists of a shared seq2seq and six modal-specific (speech/text) pre/post-nets that can address a few audio-related tasks. • 8 items • Updated May 1, 2025 • 26
Instant Space Collection Contains spaces which gives lightning fast results compare to others. • 11 items • Updated Jul 26, 2024 • 8
Qwen1.5 Collection Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud. • 53 items • Updated 11 days ago • 213