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")# 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 pytorch_model.bin from kingabzpro/wav2vec2-60-urdu: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/51fe84be2486e94bb248ae603f6f5defe0722768/pytorch_model.bin
- Command line
-
hf download hf://kingabzpro/wav2vec2-60-urdu@51fe84be2486e94bb248ae603f6f5defe0722768/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/51fe84be2486e94bb248ae603f6f5defe0722768/pytorch_model.bin
1.26 GB
- Xet hash:
- c85e4b25e9b64304a79bf48a10cfa4ddedbcdebea4e5fd0c6771578b0234e50a
- Size of remote file:
- 1.26 GB
- SHA256:
- 8afa6360c5af1a7e1eb5725b9ec306cecc58d35ad2c0cae4b94b2fc667fe61eb
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