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wav2vec-tr-lite-AG
adresgezgini/wav2vec-tr-lite-AG
wav2vec-tr-lite-AG is a automatic speech recognition model from adresgezgini. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
The model can be used directly (without a language model) as follows:
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 5, 2021
- SHA
- 868cefaa
Datasets
Model card
From the Hugging Face model README
wav2vec-tr-lite-AG
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", "tr", split="test[:2%]")
processor = Wav2Vec2Processor.from_pretrained("emre/wav2vec-tr-lite-AG")
model = Wav2Vec2ForCTC.from_pretrained("emre/wav2vec-tr-lite-AG")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
**Test Result**: 27.30 %
[here](https://adresgezgini.com)
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- tr
- Created
- Mar 2, 2022
- Updated
- Jul 5, 2021