Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
ASR
Speech Recognition
Hindi
Instructions to use mukish45/whisper-base-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mukish45/whisper-base-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mukish45/whisper-base-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mukish45/whisper-base-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("mukish45/whisper-base-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ce734cbd9c3a72b970016885d1b35dddaee3654c414155ede77ff1949523603
- Size of remote file:
- 3.64 kB
- SHA256:
- e60782467190ca5b72b39f0debe91ff3137a96d3908fa52d7d6b5f9fe88ff798
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