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
| { | |
| "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"} | |
| } | |
| } | |