Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

bodhan-ai
/
indic-transcribe-flex

Automatic Speech Recognition
NeMo
Safetensors
indic_canary
speech
audio
asr
multilingual
indic
code-switching
code-mixing
romanization
transliteration
language-identification
canary
fastconformer
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use bodhan-ai/indic-transcribe-flex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use bodhan-ai/indic-transcribe-flex with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("bodhan-ai/indic-transcribe-flex")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

model benchmarks and comparison with other models like whisper

👀 1
#3 opened 5 days ago by
prasadm1

availability of .nemo version ?

1
#2 opened 10 days ago by
athaze

Indic-Transcribe-lite

2
#1 opened 11 days ago by
muzammil97
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs