Instructions to use harrrshall/kriti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use harrrshall/kriti with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("harrrshall/kriti") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
release kriti nepali asr
Browse files- .gitattributes +1 -0
- LICENSE +21 -0
- NOTICE +12 -0
- README.md +84 -0
- benchmark.json +594 -0
- kriti.nemo +3 -0
- model.json +23 -0
- punctuation_head.json +1 -0
.gitattributes
CHANGED
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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kriti.nemo filter=lfs diff=lfs merge=lfs -text
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LICENSE
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MIT License
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Copyright (c) 2026 Kriti contributors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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+
The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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| 18 |
+
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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| 19 |
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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| 20 |
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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NOTICE
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Kriti includes weights derived from AI4Bharat IndicConformer.
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Base model:
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ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large
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revision cd09ba7720f3b17d259f6bfd03e1463bc5ba517d
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The upstream model card declares the model under the MIT License. The original
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model card and attribution are available at:
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https://huggingface.co/ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large
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| 10 |
+
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| 11 |
+
The OpenSLR, FLEURS, and IndicVoices source materials retain their own licenses
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and are not redistributed in this repository or the model repository.
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README.md
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---
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language:
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- ne
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license: mit
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library_name: nemo
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pipeline_tag: automatic-speech-recognition
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tags:
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- nepali
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- rnnt
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- conformer
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- speech
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base_model: ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large
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---
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# kriti
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kriti sets a new efficiency frontier for open nepali asr with 119,462,146 live
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parameters. it is joint first in our 19-system development benchmark, records
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the best raw wer in that evaluated field, and leads the fine-tuned qwen3 nepali
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asr model, whisper large v3,
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and mms 1b variants while being far smaller. it is derived from the
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mit-licensed ai4bharat nepali indicconformer and retains its attribution.
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## results
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| 25 |
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+
| rank | model | punctuation-insensitive wer | raw wer |
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|---:|---|---:|---:|
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| 1 | <mark>kriti</mark> | <mark>24.0773%</mark> | <mark>24.6854%</mark> |
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| 29 |
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| 1 | ai4bharat nepali indicconformer rnnt | 24.0773% | 25.1928% |
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| 3 | ai4bharat nepali indicconformer ctc | 25.3109% | 26.4313% |
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| 4 | qwen3 asr nepali fine-tuned | 52.4043% | 55.5196% |
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| 5 | whisper large v3 nepali | 55.7059% | 57.8369% |
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| 6 | whisper large v3 nepali openslr | 55.7678% | 57.4514% |
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| 7 | whisper medium nepali | 58.4027% | 60.8634% |
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| 8 | meta mms 1b all, nepali adapter | 60.1274% | 61.2749% |
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| 9 | mms 1b nepali | 60.7661% | 63.2307% |
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| 10 | xls-r 300m nepali | 62.8900% | 63.9039% |
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the benchmark uses a frozen 3,630-utterance development view. each listed
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system was loaded and evaluated twice with identical prediction hashes. kriti
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is joint first on the primary punctuation-insensitive metric and has the lower
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raw wer through its acoustic danda head. this is model-selection evidence, not
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an untouched test claim.
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## architecture
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```text
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16 khz audio -> 80-bin log-mel -> 17 conformer blocks -> 257-token nepali rnnt
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-> 1,024 pooled encoder features -> 1,025-parameter danda head
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```
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the conformer has width 512, eight attention heads, four-times subsampling, and
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kernel width 31. the prediction and joint networks have width 640. the public
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loader retains only the nepali joint head and compacts the prediction embedding
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at load time.
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## usage
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```bash
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git clone https://github.com/harrrshall/kriti
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cd kriti
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python -m venv .venv
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source .venv/bin/activate
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pip install -e '.[runtime]'
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kriti audio.wav
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```
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```python
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from kriti import load_model
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model = load_model()
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print(model.transcribe("audio.wav"))
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```
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input must be mono 16 khz audio. artifact hashes and the exact live parameter
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| 76 |
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count are verified by the loader. see the
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[github repository](https://github.com/harrrshall/kriti) for architecture,
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training, data provenance, benchmark protocol, and metric code.
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| 79 |
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## license and data
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| 81 |
+
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| 82 |
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code and derived weights are released under mit with ai4bharat attribution.
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| 83 |
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the training sources retain their original terms. no raw audio, transcripts,
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| 84 |
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speaker metadata, or gated source rows are redistributed.
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benchmark.json
ADDED
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"ffc46aa64b592dbc565e04a87c9b5efab9178911ac20df1f4b652dfa2c183ad8"
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| 594 |
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kriti.nemo
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version https://git-lfs.github.com/spec/v1
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size 497766400
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model.json
ADDED
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@@ -0,0 +1,23 @@
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{
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"schema_version": 1,
|
| 3 |
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"name": "kriti",
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| 4 |
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"language": "ne",
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| 5 |
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"task": "automatic-speech-recognition",
|
| 6 |
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"license": "mit",
|
| 7 |
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"base_model": "ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large",
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| 22 |
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punctuation_head.json
ADDED
|
@@ -0,0 +1 @@
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