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wav2vec-lt-lite

Usage

The model can be used directly (without a language model) as follows:

import torch
import torchaudio
from datasets import load_dataset
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
test_dataset = load_dataset("common_voice", "lt", split="test[:2%]") 
processor = Wav2Vec2Processor.from_pretrained("seccily/wav2vec-lt-lite")
model = Wav2Vec2ForCTC.from_pretrained("seccily/wav2vec-lt-lite")
resampler = torchaudio.transforms.Resample(48_000, 16_000)

Test Result: 59.47

Downloads last month: 12

Dataset used to train seccily/wav2vec-lt-lite

Evaluation results

Model card error

This model's model-index metadata is invalid: Schema validation error. "model-index[0].results[0].metrics[0].value" is required