Instructions to use mobilebytesensei/betterflow-indicconformer-ctc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use mobilebytesensei/betterflow-indicconformer-ctc with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("mobilebytesensei/betterflow-indicconformer-ctc") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
| { | |
| "lang": "mr", | |
| "source": "/Users/skniyajali/.cache/huggingface/hub/models--ai4bharat--indicconformer_stt_mr_hybrid_ctc_rnnt_large/snapshots/17a1e9f2735eab2ca190a01cbf690ace63be6141/indicconformer_stt_mr_hybrid_rnnt_large.nemo", | |
| "source_sha256": "f7c161ab5bd4a9bb62c5ba33c2667c00f51db8497eb0baf4bb89fa2388758979", | |
| "source_bytes": 523192320, | |
| "fp32_bytes": 492987821, | |
| "fp32_sha256": "14ee813c67911265ee7f339fa6847414335e5a316e106ded3b04be9bc90b9be1", | |
| "int8_bytes": 140337395, | |
| "int8_sha256": "af22de1897679e4a39af028c2f15362c6851f415c51a6f4e2d596f93d317ec03", | |
| "tokens_sha256": "ee60967630213f31951817ac8b402b92ec18cce80718a24a49b388e56672dfb2", | |
| "vocab": 5633, | |
| "sherpa_metadata": { | |
| "vocab_size": "5633", | |
| "subsampling_factor": "4", | |
| "normalize_type": "per_feature", | |
| "feature_dim": "80" | |
| }, | |
| "fp32_conv_nodes": { | |
| "fp32": 54, | |
| "int8": 0 | |
| }, | |
| "t1_budget_mb": 1300 | |
| } |