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
Commit ·
e2568c3
1
Parent(s): 0bf9bd3
Update preprocessor_config.json
Browse files- preprocessor_config.json +2 -1
preprocessor_config.json
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"padding_side": "right",
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"padding_value": 0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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"padding_side": "right",
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"padding_value": 0,
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"return_attention_mask": false,
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"sampling_rate": 16000,
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"processor_class": "Wav2Vec2ProcessorWithLM"
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}
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