Instructions to use xrverse/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xrverse/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xrverse/whisper-small-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xrverse/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("xrverse/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c6ba4b203a931a03338caabde40391bf0d9ac771632c3d6771a93a2757d7290
- Size of remote file:
- 3.71 kB
- SHA256:
- ed14ae9e870ba1672af83652cdf405ee0d763a3df84f5d2f65bdcee13ac53142
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