{"id":1017,"date":"2026-07-14T20:47:30","date_gmt":"2026-07-14T20:47:30","guid":{"rendered":"https:\/\/mycrewsolutions.com\/?p=1017"},"modified":"2026-07-14T20:47:30","modified_gmt":"2026-07-14T20:47:30","slug":"deploy-vibevoice-asr-hf-using-pinokio-zero-config","status":"publish","type":"post","link":"https:\/\/mycrewsolutions.com\/index.php\/2026\/07\/14\/deploy-vibevoice-asr-hf-using-pinokio-zero-config\/","title":{"rendered":"Deploy VibeVoice-ASR-HF Using Pinokio Zero Config"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"Deploy VibeVoice-ASR-HF Using Pinokio Zero Config\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>For the <i>fastest local setup<\/i> of this model, enabling <b>Windows Features<\/b> is best.<\/p>\n<p>Carefully read and <b>apply the steps<\/b> described below.<\/p>\n<p> <\/p>\n<p><i>1-click setup: the app automatically fetches the large weight files.<\/i><\/p>\n<p> <\/p>\n<p>To guarantee smooth performance, the process <b>auto-selects the best options<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:18px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f4f4f5;box-shadow:0 14px 28px rgba(0,0,0,0.06);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:19px;color:#27272a;line-height:2.3;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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recognition in edge environments, leveraging a transformer-based architecture optimized for low-latency recognition. With support for over 100 languages and dialects, this model delivers real-time transcription with an average word error rate below 5%. The inference time on standard CPUs remains sub-200ms, making it suitable for live captioning and voice-controlled applications. Furthermore, the integration with popular frameworks through a lightweight API enables developers to deploy the model without extensive hardware resources. This results in a more efficient and cost-effective solution for real-time speech recognition tasks. Additionally, the VibeVoice-ASR-HF model is designed to meet the needs of various industries, including but not limited to, healthcare, education, and customer service.<!-- Comparison of key metrics for the VibeVoice-ASR-HF model -->1. **Model size**: The VibeVoice-ASR-HF model features an approximate 150 million parameters, making it a relatively lightweight solution compared to other speech recognition models.2. Supported languages: The model supports over 100 languages and dialects, catering to diverse linguistic needs across different regions and industries.3. Average latency: With an average latency of under 200ms on standard CPUs, this model is well-suited for real-time applications that require fast and accurate speech recognition.4. Word error rate: The model&#8217;s word error rate is below 5%, indicating high accuracy in transcribing spoken language into text.5. API compatibility: The VibeVoice-ASR-HF model is compatible with both REST and gRPC APIs, providing developers with flexibility in choosing the most suitable integration method.<!-- Key benefits of using the VibeVoice-ASR-HF model --><\/p>\n<h4>Increased Efficiency and Productivity<\/h4>\n<p>The VibeVoice-ASR-HF model enables developers to build more efficient and productive speech recognition applications. With its lightweight API and support for over 100 languages, this model simplifies the process of integrating real-time speech recognition capabilities into various applications.<!-- Real-world scenarios where the VibeVoice-ASR-HF model can be applied --><\/p>\n<h4>Live Captioning for Diverse Industries<\/h4>\n<p>The VibeVoice-ASR-HF model is well-suited for live captioning applications in diverse industries, including healthcare, education, and customer service. Its ability to deliver real-time transcription with an average word error rate below 5% makes it an ideal solution for ensuring accurate communication in these contexts.<\/p>\n<h4>Enhanced Customer Experience through Voice-Controlled Applications<\/h4>\n<p>The VibeVoice-ASR-HF model&#8217;s fast inference time and high accuracy make it an excellent choice for voice-controlled applications that require fast and reliable speech recognition. By integrating this model into voice-controlled interfaces, developers can enhance the overall customer experience and provide more intuitive user interactions.<\/p>\n<h4>Reduced Hardware Resources Required<\/h4>\n<p>The VibeVoice-ASR-HF model&#8217;s lightweight API design and support for standard CPUs mean that it requires fewer hardware resources compared to other speech recognition models. This reduces the costs associated with deploying real-time speech recognition capabilities, making it an attractive solution for developers on a budget.<\/p>\n<h5>Conclusion<\/h5>\n<p>In conclusion, the VibeVoice-ASR-HF model offers a range of benefits and advantages that make it an attractive solution for developers looking to integrate real-time speech recognition capabilities into their applications. With its support for over 100 languages, fast inference time, and lightweight API design, this model is well-suited for various industries and use cases.<\/p>\n<ol>\n<li>Installer deploying local chat applications with multi-personality presets<\/li>\n<li>VibeVoice-ASR-HF with 1M Context<\/li>\n<li>Downloader pulling calibrated Flux.1-Schnell safetensors for rapid image workflows<\/li>\n<li>VibeVoice-ASR-HF with 1M Context For Beginners<\/li>\n<li>Installer configuring multi-tier user permissions for shared local servers<\/li>\n<li>Zero-Click Run VibeVoice-ASR-HF Locally via LM Studio For Low VRAM (6GB\/8GB) Windows FREE<\/li>\n<li>Script downloading optimized tokenizers designed specifically for complex localized languages translation suites<\/li>\n<li>Install VibeVoice-ASR-HF No Admin Rights Direct EXE Setup<\/li>\n<li>Installer configuring distributed tensor calculation grids across multiple local desktop systems<\/li>\n<li>VibeVoice-ASR-HF Locally via Ollama 2 with Native FP4 5-Minute Setup<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>For the fastest local setup of this model, enabling Windows Features is best. Carefully read and apply the steps described below. 1-click setup: the app automatically fetches the large weight files. To guarantee smooth performance, the process auto-selects the best options. \ud83d\udd17 SHA sum: ab7e0ccb44ef9ccd684c25e428c55941 | Updated: 2026-07-10 Verify Processor: next-gen chip for heavy context [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18],"tags":[],"class_list":["post-1017","post","type-post","status-publish","format-standard","hentry","category-custom"],"_links":{"self":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/1017","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/comments?post=1017"}],"version-history":[{"count":1,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/1017\/revisions"}],"predecessor-version":[{"id":1018,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/1017\/revisions\/1018"}],"wp:attachment":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/media?parent=1017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/categories?post=1017"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/tags?post=1017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}