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
File size: 111 Bytes
e0a8728 | 1 2 3 4 5 6 | - dataset:
id: ARTPARK-IISc/Vaani-Benchmark-V1.0
task_id: Hindi_WER
date: '2026-06-26'
value: 38.6
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