
### Usage

```python
#!pip install transformers==4.17.0
#!pip install https://github.com/kpu/kenlm/archive/master.zip
#!pip install pyctcdecode==0.4.0
from transformers.file_utils import cached_path, hf_bucket_url
from importlib.machinery import SourceFileLoader
from transformers import Wav2Vec2ProcessorWithLM
from IPython.lib.display import Audio
import torchaudio
import torch

# Load model & processor
model_name = "nguyenvulebinh/wav2vec2-base-ja"
model = SourceFileLoader("model", cached_path(hf_bucket_url(model_name,filename="model_handling.py"))).load_module().Wav2Vec2ForCTC.from_pretrained(model_name)
processor = Wav2Vec2ProcessorWithLM.from_pretrained(model_name)

# Load an example audio (16k)
audio, sample_rate = torchaudio.load(cached_path(hf_bucket_url(model_name, filename="sample.wav")))
input_data = processor.feature_extractor(audio[0], sampling_rate=16000, return_tensors='pt')

# Infer
output = model(**input_data)

# Output transcript without LM
print(processor.tokenizer.decode(output.logits.argmax(dim=-1)[0].detach().cpu().numpy()))

# Output transcript with LM
print(processor.decode(output.logits.cpu().detach().numpy()[0], beam_width=100).text)
```

### Model Parameters License

The ASR model parameters are made available for non-commercial use only, under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You can find details at: https://creativecommons.org/licenses/by-nc/4.0/legalcode


### Contact 

nguyenvulebinh@gmail.com

[![Follow](https://img.shields.io/twitter/follow/nguyenvulebinh?style=social)](https://twitter.com/intent/follow?screen_name=nguyenvulebinh)
{"language": "ja", "license": "cc-by-nc-4.0", "tags": ["audio", "automatic-speech-recognition"], "datasets": ["csj"]}
transformers pytorch wav2vec2 automatic-speech-recognition audio ja dataset:csj license:cc-by-nc-4.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #audio #ja #dataset-csj #license-cc-by-nc-4.0 #endpoints_compatible #region-us 


### Usage



### Model Parameters License

The ASR model parameters are made available for non-commercial use only, under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You can find details at: URL


### Contact 

nguyenvulebinh@URL

![Follow](URL
### Usage ### Model Parameters License

The ASR model parameters are made available for non-commercial use only, under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You can find details at: URL ### Contact 

nguyenvulebinh@URL

![Follow](URL
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #audio #ja #dataset-csj #license-cc-by-nc-4.0 #endpoints_compatible #region-us 
 ### Usage ### Model Parameters License

The ASR model parameters are made available for non-commercial use only, under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You can find details at: URL ### Contact 

nguyenvulebinh@URL

![Follow](URL
passage: TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #audio #ja #dataset-csj #license-cc-by-nc-4.0 #endpoints_compatible #region-us 
### Usage### Model Parameters License

The ASR model parameters are made available for non-commercial use only, under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You can find details at: URL### Contact 

nguyenvulebinh@URL

![Follow](URL