Instructions to use SaraFlick/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaraFlick/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SaraFlick/whisper-small-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SaraFlick/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("SaraFlick/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e9b6c078532a01235329c5965483eca3818078e859d1c695b719114067d72cf
- Size of remote file:
- 4.86 kB
- SHA256:
- c377beb174a5028729dda7efd0f20f1beb3423018a765b4a554e6aba9fb63d1b
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