Instructions to use amn-raw/indicconformer_stt_as_large-finetune-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use amn-raw/indicconformer_stt_as_large-finetune-v2 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("amn-raw/indicconformer_stt_as_large-finetune-v2") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
indicconformer_stt_as_large-finetune-v2
Fine-tuned from amn-raw/indic_conformer_ctc_rnnt_finetuned on a 189 hours (187k sample) subset of amn-raw/assamese-augmented-asr-data.
Usage
Method 1: Load directly via from_pretrained (Recommended)
import nemo.collections.asr as nemo_asr
model = nemo_asr.models.ASRModel.from_pretrained("amn-raw/indicconformer_stt_as_large-finetune-v2")
model.cur_decoder = "ctc"
print(model.transcribe(["sample_audio_16k_mono.wav"], batch_size=1, language_id="as")[0])
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