Instructions to use addy88/hindi-wav2vec2-stt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/hindi-wav2vec2-stt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="addy88/hindi-wav2vec2-stt")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("addy88/hindi-wav2vec2-stt") model = AutoModelForCTC.from_pretrained("addy88/hindi-wav2vec2-stt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f05e1a1766d8df4910426daf8f16b0b938eb9053dda055ed56a2901eb24d99
- Size of remote file:
- 378 MB
- SHA256:
- 9bb46884e079e83cdc30e45b931f35f45bda2f4b74bf82fed1d2630ca25603a0
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