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reacted to BlueNipples's post with šŸ‘€ about 2 hours ago
Good news, llama.cpp seems to be close to supporting MTP on qwen models. Bad news, every single gguf will have to be redone when it is.
reacted to yuriyvnv's post with šŸ”„ about 2 hours ago
šŸ“„ The WAVe paper is officially out in the Information Sciences Journal. You saw the PT and NL model releases earlier this year. This is the peer-reviewed paper behind them, with the full method, ablations, and downstream ASR evaluation. Quick recap: WAVe is a 1B multimodal embedding model that filters synthetic speech at the word level, not the sentence level. On Portuguese ASR it cuts training steps by 34%, improves cross-domain generalization by 50%, and matches WER with 30% less synthetic data. šŸ“¦ Resources - Paper: https://www.sciencedirect.com/science/article/pii/S0020025526005220 - PT model: https://huggingface.co/yuriyvnv/WAVe-1B-Multimodal-PT - NL model: https://huggingface.co/yuriyvnv/WAVe-1B-Multimodal-NL - Collection: https://huggingface.co/collections/yuriyvnv/multi-modal-embeddings-for-synthetic-transcript-filtering - Code: https://github.com/yuriyvnv/WAVe If you train ASR on synthetic or back-translated data, would like to see WAVe benchmarked on other languages. @reach-vb @ylacombe @hf-audio @BramVanroy #speech #asr #multimodal #syntheticdata #lowresource
reacted to unmodeled-tyler's post with šŸš€ about 2 hours ago
Hey Hugging Face! Repo: https://github.com/unmodeled-tyler/vessel-browser I wanted to share a cool feature from my open source AI native web browser, Vessel: Persistent highlights! You can highlight anything on the page and the context is provided to the agent. It's kind of a fun way to learn about new stuff, synthesize info, or just deepen your comprehension/understanding. Since highlights are persistent, you can close the page, come back later - and your highlights will be exactly where you left them. I've found this particularly useful when reviewing technical blogs, model cards, etc. Check it out!
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