Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use teahoo/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teahoo/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="teahoo/whisper-small-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("teahoo/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("teahoo/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Jan05_11-49-25_gpusvr1105/events.out.tfevents.1672886973.gpusvr1105.27220.0
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