Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Urdu
wav2vec2
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use kingabzpro/wav2vec2-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingabzpro/wav2vec2-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kingabzpro/wav2vec2-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kingabzpro/wav2vec2-urdu") model = AutoModelForCTC.from_pretrained("kingabzpro/wav2vec2-urdu") - Notebooks
- Google Colab
- Kaggle
How difficult is it to add a model card? -_-
#3 opened almost 2 years ago
by
SalehAhmad