Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Shehryar718/URDU-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shehryar718/URDU-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shehryar718/URDU-ASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Shehryar718/URDU-ASR") model = AutoModelForCTC.from_pretrained("Shehryar718/URDU-ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Shehryar718/URDU-ASR: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Shehryar718/URDU-ASR/resolve/main/training_args.bin
- Command line
-
hf download hf://Shehryar718/URDU-ASR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Shehryar718/URDU-ASR/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 530f8a59010d0bae732b3468e1fa07eb371daaf03f16044a888ec52d6443d1da
- Size of remote file:
- 4.6 kB
- SHA256:
- 04a9ad8f7d1007fa62a542ecb638ab4d8aecc66d87e77d4acb522e91fed97c28
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