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whisper-large-v3-aft-all-bew
vitthalbhandari/whisper-large-v3-aft-all-bew
whisper-large-v3-aft-all-bew is a automatic speech recognition model from vitthalbhandari. Use it when you need speech turned into text. The card lists the license as cc-by-nc-4.0.
This model is a fine-tuned version of openai/whisper-large-v3 on the Mozilla Common Voice Spontaneous Speech dataset for Betawi (bew).
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At a glance
- Task
- Automatic Speech Recognition
- License
- cc-by-nc-4.0
- Model type
- whisper
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026
- SHA
- 5a0ac6ee
Model card
From the Hugging Face model README
Whisper Large-v3 Fine-tuned for Betawi
This model is a fine-tuned version of openai/whisper-large-v3 on the Mozilla Common Voice Spontaneous Speech dataset for Betawi (bew).
Training
- Base model: openai/whisper-large-v3
- Fine-tuning method: Full fine-tuning (seq2seq cross-entropy)
- Whisper language token: indonesian
- Dataset: Mozilla Common Voice Spontaneous Speech
Usage
from transformers import WhisperForConditionalGeneration, WhisperProcessor
import torch
processor = WhisperProcessor.from_pretrained("vitthalbhandari/whisper-large-v3-aft-all-bew")
model = WhisperForConditionalGeneration.from_pretrained("vitthalbhandari/whisper-large-v3-aft-all-bew")
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)
- Task
- Automatic Speech Recognition
- Type
- whisper
- License
- cc-by-nc-4.0
- Languages
- bew
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026