Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Urdu
wav2vec2
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use kingabzpro/wav2vec2-60-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingabzpro/wav2vec2-60-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kingabzpro/wav2vec2-60-urdu")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kingabzpro/wav2vec2-60-urdu") model = AutoModelForCTC.from_pretrained("kingabzpro/wav2vec2-60-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kingabzpro/wav2vec2-60-urdu: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/ae7345accd11d6dc8f48ec300873c170f58295bd/training_args.bin
- Command line
-
hf download hf://kingabzpro/wav2vec2-60-urdu@ae7345accd11d6dc8f48ec300873c170f58295bd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/ae7345accd11d6dc8f48ec300873c170f58295bd/training_args.bin
2.86 kB
- Xet hash:
- ff1ffa77f83efdeae3dde9f8790894b03808009f506645ef85aa6e3f2861e222
- Size of remote file:
- 2.86 kB
- SHA256:
- 277de10ff0c3669896c26050271cdf1f78b9da4f3167d9e9fbcd891037423e15
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