Instructions to use Harveenchadha/vakyansh-wav2vec2-urdu-urm-60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harveenchadha/vakyansh-wav2vec2-urdu-urm-60 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Harveenchadha/vakyansh-wav2vec2-urdu-urm-60")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-urdu-urm-60") model = AutoModelForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-urdu-urm-60", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-urdu-urm-60")
model = AutoModelForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-urdu-urm-60", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Harveenchadha/vakyansh-wav2vec2-urdu-urm-60")