Instructions to use makaveli10/whisper-small-Hindi-indic-mcv-shrutilipi-hi-only-tokenized-vocab-size-15k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use makaveli10/whisper-small-Hindi-indic-mcv-shrutilipi-hi-only-tokenized-vocab-size-15k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="makaveli10/whisper-small-Hindi-indic-mcv-shrutilipi-hi-only-tokenized-vocab-size-15k")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("makaveli10/whisper-small-Hindi-indic-mcv-shrutilipi-hi-only-tokenized-vocab-size-15k") model = AutoModelForSpeechSeq2Seq.from_pretrained("makaveli10/whisper-small-Hindi-indic-mcv-shrutilipi-hi-only-tokenized-vocab-size-15k", device_map="auto") - Notebooks
- Google Colab
- Kaggle