Instructions to use Sania67/Urdu_Based_ASR_Model_FYP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sania67/Urdu_Based_ASR_Model_FYP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sania67/Urdu_Based_ASR_Model_FYP")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sania67/Urdu_Based_ASR_Model_FYP") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sania67/Urdu_Based_ASR_Model_FYP") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 11 months ago
by
SFconvertbot