vitthalbhandari / mms-1b-all-aft-mid-led

huggingface.co
Total runs: 11
24-hour runs: -1
7-day runs: -2
30-day runs: 1
Model's Last Updated: February 17 2026
automatic-speech-recognition

Introduction of mms-1b-all-aft-mid-led

Model Details of mms-1b-all-aft-mid-led

MMS Adapter Fine-tuned for Lendu

This model is a fine-tuned version of facebook/mms-1b-all on the Mozilla Common Voice Spontaneous Speech dataset for Lendu (led).

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-mid-led")
model = Wav2Vec2ForCTC.from_pretrained("vitthalbhandari/mms-1b-all-aft-mid-led")

# Load adapter
model.load_adapter("led")

# 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)

Runs of vitthalbhandari mms-1b-all-aft-mid-led on huggingface.co

11
Total runs
-1
24-hour runs
-3
3-day runs
-2
7-day runs
1
30-day runs

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