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_base_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harveenchadha/hindi_base_wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Harveenchadha/hindi_base_wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Harveenchadha/hindi_base_wav2vec2") model = AutoModelForCTC.from_pretrained("Harveenchadha/hindi_base_wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0062bd85903ac9281265bd7d32cf36ff35eae1fd89d6568025db6df7e6d58d0d
- Size of remote file:
- 397 MB
- SHA256:
- 070d1f2b7c745d12e8d28edb4681d8aa266ef113b285a058d0d6b672b0cea8ba
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