Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
en-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use mn367/whisper-medium-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mn367/whisper-medium-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mn367/whisper-medium-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mn367/whisper-medium-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("mn367/whisper-medium-hi") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
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Evaluation results
- Wer on Radio datasetself-reported30.972