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Download NOTICE.md from adidsh/indic-transcribe-flex-int8-onnx: direct link, hf CLI and curl.
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- Download file 1.56 kB
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https://huggingface.co/adidsh/indic-transcribe-flex-int8-onnx/resolve/main/NOTICE.md
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hf download hf://adidsh/indic-transcribe-flex-int8-onnx/NOTICE.md
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curl -L -o NOTICE.md https://huggingface.co/adidsh/indic-transcribe-flex-int8-onnx/resolve/main/NOTICE.md
1.56 kB
Notices & Attribution
1. Bodhan AI / AI4Bharat Indic-Transcribe-Flex
This model is derived from Indic-Transcribe-Flex, developed by Bodhan AI and AI4Bharat.
- Upstream Repository: bodhan-ai/indic-transcribe-flex
- Upstream Commit:
d1f27e693a2d0dd5735492908720003bdac81712 - License: Indic Open Model License v1.0 (see LICENSE)
- Required Attribution: "Built with Indic-Transcribe-Flex from Bodhan AI / AI4Bharat."
2. NVIDIA Canary 1B v2 Base Architecture
The underlying neural architecture is based on Canary-1B-v2, developed by NVIDIA Corporation.
- Architecture: FastConformer Encoder + Causal Transformer Decoder (~1.22B parameters)
- Upstream Model: nvidia/canary-1b-v2
- Upstream License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
- Attribution: "Canary-1B-v2 developed by NVIDIA Corporation (licensed under CC-BY-4.0)."
3. Derivative Modifications
- Transformation: Dynamic Activation + Static Weight INT8 Quantization (W8A8 dynamic linear) applied across 530 linear projections.
- Export Format: Modular Microsoft ONNX Runtime graph (
encoder.onnx+decoder.onnx) optimized for edge on-device mobile inference. - Target Distribution: Client-side local inference within on-device mobile applications. No hosted multi-tenant API services are provided.
- Developed by: Community Contributor (2026).