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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 700
Browse files
pytorch_model.bin
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runs/May21_07-33-08_5a6a0667dc3a/events.out.tfevents.1684654409.5a6a0667dc3a.546.4
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