Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
Citrinet
Transformer
NeMo
Riva
Eval Results (legacy)
Instructions to use wenqiglantz/stt_zh_citrinet_1024_gamma_0_25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use wenqiglantz/stt_zh_citrinet_1024_gamma_0_25 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("wenqiglantz/stt_zh_citrinet_1024_gamma_0_25") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Commit ·
4919ca8
1
Parent(s): 5278826
Update metadata with huggingface_hub
Browse files
README.md
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- en
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license: cc-by-4.0
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library_name: nemo
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datasets:
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- aishell_2
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thumbnail: null
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tags:
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- automatic-speech-recognition
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- speech
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- NeMo
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- pytorch
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- Riva
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model-index:
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- name: stt_zh_citrinet_1024_gamma_0_25
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results:
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---
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## Model Overview
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- en
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license: cc-by-4.0
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library_name: nemo
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tags:
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- automatic-speech-recognition
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- speech
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- NeMo
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- pytorch
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- Riva
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datasets:
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- aishell_2
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model-index:
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- name: stt_zh_citrinet_1024_gamma_0_25
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results:
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- task:
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type: automatic-speech-recognition
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dataset:
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name: Librispeech (clean)
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type: librispeech_asr
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config: other
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split: test
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args:
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language: en
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metrics:
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- type: wer
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value: 8.1
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name: WER
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---
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## Model Overview
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