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
File size: 964 Bytes
762d1c1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"schema_version": 1,
"name": "kriti",
"language": "ne",
"task": "automatic-speech-recognition",
"license": "mit",
"base_model": "ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large",
"base_revision": "cd09ba7720f3b17d259f6bfd03e1463bc5ba517d",
"runtime_revision": "8dce88cf8e94963e2033c3137f7b9993b51db88a",
"live_parameters": 119462146,
"asr_parameters": 119461121,
"punctuation_parameters": 1025,
"release_validation": {
"view_sha256": "2374cac54831ce9c69282503763d7f1e12ada0404ae34ed471a7538cdae6c61f",
"records": 3630,
"benchmark_hypothesis_mismatches": 0,
"predictions_sha256": "1a42d4b0b527f2c21a4a28dfa84e7a2d769762bc4a6d80c59a12821e85b89f0f"
},
"artifacts": {
"kriti.nemo": {"bytes": 497766400, "sha256": "0144854f0cc78f4b6115b75089fad632c39207d5256e53f92da996b9bbe43582"},
"punctuation_head.json": {"bytes": 20990, "sha256": "5874b6fc6b4f1172dffa249a42f5054ffe196cff9b97854fe180eafc4134e9bb"}
}
}
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