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mms-1b-all-aft-full-bew
vitthalbhandari/mms-1b-all-aft-full-bew
mms-1b-all-aft-full-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 facebook/mms-1b-all 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
- wav2vec2
- Access
- Public
- Created
- May 21, 2026
- Updated
- May 21, 2026
- SHA
- bdc09c92
Model card
From the Hugging Face model README
MMS Adapter Fine-tuned for Betawi
This model is a fine-tuned version of facebook/mms-1b-all on the Mozilla Common Voice Spontaneous Speech dataset for Betawi (bew).
Training
- Base model: facebook/mms-1b-all
- Fine-tuning method: Adapter layers
- Dataset: Mozilla Common Voice Spontaneous Speech
Usage
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import torch
processor = Wav2Vec2Processor.from_pretrained("vitthalbhandari/mms-1b-all-aft-full-bew")
model = Wav2Vec2ForCTC.from_pretrained("vitthalbhandari/mms-1b-all-aft-full-bew")
# Load adapter
model.load_adapter("bew")
# Transcribe audio
inputs = processor(audio_array, sampling_rate=16000, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
predicted_ids = torch.argmax(logits, dim=-1)
transcription = processor.batch_decode(predicted_ids)
- Task
- Automatic Speech Recognition
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Languages
- bew
- Created
- May 21, 2026
- Updated
- May 21, 2026