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whisper-large-v3-aft-all-top – AI Model by vitthalbhandari | AlphaNeural AI

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vitthalbhandari/
whisper-large-v3-aft-all-top

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automatic-speech-recognition

mozilla-foundation/common_voice_spontaneous_speech

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Whisper Large-v3 Fine-tuned for Papantla Totonac

This model is a fine-tuned version of openai/whisper-large-v3 on the Mozilla Common Voice Spontaneous Speech dataset for Papantla Totonac (top).

Training

Base model: openai/whisper-large-v3
Fine-tuning method: Full fine-tuning (seq2seq cross-entropy)
Whisper language token: english
Dataset: Mozilla Common Voice Spontaneous Speech

Usage

python

from transformers import WhisperForConditionalGeneration, WhisperProcessor
import torch

processor = WhisperProcessor.from_pretrained("vitthalbhandari/whisper-large-v3-aft-all-top")
model = WhisperForConditionalGeneration.from_pretrained("vitthalbhandari/whisper-large-v3-aft-all-top")

inputs = processor(audio_array, sampling_rate=16000, return_tensors="pt")
with torch.no_grad():
    generated_ids = model.generate(**inputs)
transcription = processor.batch_decode(generated_ids, skip_special_tokens=True)