Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
hf-asr-leaderboard
model_for_talk
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use Harveenchadha/hindi_large_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harveenchadha/hindi_large_wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Harveenchadha/hindi_large_wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Harveenchadha/hindi_large_wav2vec2") model = AutoModelForCTC.from_pretrained("Harveenchadha/hindi_large_wav2vec2") - Notebooks
- Google Colab
- Kaggle
Commit ·
2ab3b5c
1
Parent(s): e66e1ff
Update preprocessor_config.json
Browse files- preprocessor_config.json +1 -1
preprocessor_config.json
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"padding_value": 0,
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"return_attention_mask": true,
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"sampling_rate": 16000,
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"processor_class": "Wav2Vec2ProcessorWithLM"
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}
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"padding_value": 0,
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"return_attention_mask": true,
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"sampling_rate": 16000,
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"processor_class": "Wav2Vec2ProcessorWithLM"
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}
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