Instructions to use mayank0621/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mayank0621/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mayank0621/whisper-small-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mayank0621/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("mayank0621/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36e02ec85eff3cd92d8b17b59f4b50f6257a5bae2edb367f25d7ecb0838e4bab
- Size of remote file:
- 5.11 kB
- SHA256:
- 602641db6b52d21b6b355fb58756fc791b28e0150d52996757ad01b6f1687524
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