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edwko new activity 6 days ago

OuteAI/OuteTTS-1.0-0.6B:Is this one English only?

edwko updated a model 14 days ago

OuteAI/OuteTTS-1.0-0.6B-ONNX

edwko updated a model 14 days ago

OuteAI/DAC-speech-v1.0-ONNX

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edwko

in OuteAI/OuteTTS-1.0-0.6B 6 days ago

Is this one English only?

#1 opened 6 days ago by

J22

Xenova

posted an update 7 days ago

Post

2642

NEW: Real-time conversational AI models can now run 100% locally in your browser! 🤯

🔐 Privacy by design (no data leaves your device)
💰 Completely free... forever
📦 Zero installation required, just visit a website
⚡️ Blazingly-fast WebGPU-accelerated inference

Try it out: webml-community/conversational-webgpu

For those interested, here's how it works:
- Silero VAD for voice activity detection
- Whisper for speech recognition
- SmolLM2-1.7B for text generation
- Kokoro for text to speech

Powered by Transformers.js and ONNX Runtime Web! 🤗 I hope you like it!

3 replies

edwko

updated 2 models 14 days ago

OuteAI/OuteTTS-1.0-0.6B-ONNX

Text-to-Speech • Updated 14 days ago • 78 • 5

OuteAI/DAC-speech-v1.0-ONNX

Updated 14 days ago • 73 • 1

edwko

in OuteAI/DAC-speech-v1.0-ONNX 14 days ago

Create config.json

#1 opened 14 days ago by

Xenova

in OuteAI/DAC-speech-v1.0-ONNX 14 days ago

Create config.json

#1 opened 14 days ago by

Xenova

reach-vb

posted an update 23 days ago

Post

3794

hey hey @mradermacher - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! 💥

as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): https://huggingface.co/blog/xet-on-the-hub and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!

in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.

p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: https://huggingface.co/docs/hub/storage-backends#using-xet-storage

p.p.s. this is fully backwards compatible so everything will work as it should! 🤗