AltAPIs

Mvkd2k06/indic-transcribe-flex-onnx

AI model by Mvkd2k06

Open original source ↗

Older snapshot: check the original source for current information.

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Built with Indic-Transcribe-flex from Bodhan AI / AI4Bharat. Derived from NVIDIA Canary-1B-v2. This is a format conversion, not a fine-tune. Pinned upstream revision: ecba9bac9013c0340fe814b336897ee51ed80be9. Made for Muesli on Windows, which runs it through ONNX Runtime in C#. The graphs are ordinary ONNX and can be used with any ONNX Runtime 1.24 or newer. Each tar holds one directory with encoder..onnx, decoder..onnx (each with one external .onnx.data file), tokenizer.json, the licence and the notice. Checked against the upstream PyTorch wrapper (IndicTranscribe) in native, mixed and romanised modes on twelve clips of 1.6 to 14.2 seconds: two English clips synthesised with Windows text-to-speech, and five Hindi and five Tamil clips from the FLEURS dev set. The FP32 export reproduces all 36 upstream transcripts exactly. Identified languages match on every clip for all variants. Quantisation moves a few characters: FP16 differs by 1 character edit in 4,755 (one romanised Tamil word) and INT8…

Mvkd2k06/indic-transcribe-flex-onnx on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T03:09:23.928Z

Inside the original model card — Document outline
  1. Indic-Transcribe Flex — ONNX port
  2. Variants
  3. Status
  4. Graphs
  5. Reproduction
  6. Muesli
  7. License and attribution

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

Mvkd2k06/indic-transcribe-flex-onnx is a task-unspecified model repository published by Mvkd2k06 on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
Not reported
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2026-10-13T06:35:42.000Z
Last modified
2026-10-13T06:35:42.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-13T06:41:58.956Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models