Automatic Speech Recognition
Transformers
Safetensors
Panjabi
whisper
asr
gurbani
gurmukhi
punjabi
sehaj-path
kirtan
Eval Results (legacy)
Instructions to use surindersinghssj/surt-small-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surindersinghssj/surt-small-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="surindersinghssj/surt-small-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("surindersinghssj/surt-small-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("surindersinghssj/surt-small-v3") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Update training data description to 'publicly available recordings with aligned transcripts'
4a65475 verified