# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("nvbAI/whisper-small-hindi")
model = AutoModelForSpeechSeq2Seq.from_pretrained("nvbAI/whisper-small-hindi")Quick Links
Common Voice data 13 - Hindi - Finetuned - Whisper Small Checkpoint
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvbAI/whisper-small-hindi")