{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "sahilmahendrakar-paradee--call-paradee-onnx-graph-from-any-runtime",
 "repo": "sahilmahendrakar/paradee",
 "repo_url": "https://github.com/sahilmahendrakar/paradee",
 "repo_slug": "sahilmahendrakar-paradee",
 "title": "Call the Paradee ONNX graph from any runtime",
 "page_title": "How to call the Paradee ONNX graph from any runtime with Paradee",
 "summary": "Feed phoneme ids and speed into the ONNX graph and get 24 kHz audio back.",
 "who": "A backend or ML engineer who wants to serve TTS from a non-Python stack or a CPU server, using the raw model file.",
 "problem": "Wrapping the Python package is awkward in some services, so a direct ONNX interface is needed.",
 "outcome": "A service that takes phoneme ids and returns a float32 waveform at 24 kHz from the single ONNX graph.",
 "steps": [
  "Download the int8 ONNX model from huggingface.co/sahilmahendrakar/Paradee-8M-v1.1.",
  "Get the phoneme vocabulary from `config.json` on the Hub, and build `input_ids` as int64 `[1, T]` with a 0 pad token at each end, at most 512 tokens.",
  "Create `speed` as float32 `[1]`, where 1.0 is normal speed.",
  "Run the graph and read the `waveform` output, float32 `[1, samples]` at 24 kHz."
 ],
 "agent_prompt": "Load the Paradee 1.1 int8 ONNX file from sahilmahendrakar/Paradee-8M-v1.1 with an ONNX runtime, build input_ids from phonemes in config.json with 0 pads, and run inference on the text <your phonemes>. Expect a float32 waveform at 24 kHz. Verify the output shape is [1, samples] and that the sample count is greater than zero.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "The phonemes must come from misaki or be converted to misaki's spelling, since the model was trained only on misaki output and browser phonemizers can cut word accuracy sharply.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Python with pip installed",
  "Internet access for the first run, to download the 8.5 MB model and misaki's English dictionary data",
  "Audio output support (soundfile is used in the README example)"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/sahilmahendrakar-paradee/call-paradee-onnx-graph-from-any-runtime/",
 "md": "https://dedupedai.com/use-cases/sahilmahendrakar-paradee/call-paradee-onnx-graph-from-any-runtime/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/sahilmahendrakar-paradee--call-paradee-onnx-graph-from-any-runtime.json",
 "api_version": "v1"
}