Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
audio
speech
Eval Results (legacy)
Eval Results
Instructions to use Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200") model = AutoModelForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200") - Notebooks
- Google Colab
- Kaggle
Automatic correction of README.md metadata for keys. Contact website@huggingface.co for any question
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README.md
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- audio
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- automatic-speech-recognition
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- speech
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license:
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model-index:
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- name: Wav2Vec2 Vakyansh Hindi Model by Harveen Chadha
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results:
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- task:
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice hi
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type: common_voice
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args: hi
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metrics:
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---
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## Spaces Demo
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- audio
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- automatic-speech-recognition
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- speech
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license: mit
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model-index:
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- name: Wav2Vec2 Vakyansh Hindi Model by Harveen Chadha
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results:
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- task:
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice hi
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type: common_voice
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args: hi
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metrics:
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- name: Test WER
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type: wer
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value: 33.17
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---
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## Spaces Demo
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