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 training_args.bin from kingabzpro/wav2vec2-60-urdu: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/a04c2fe5faa488a24e81dcc1904ae21bd4db2ce7/training_args.bin
- Command line
-
hf download hf://kingabzpro/wav2vec2-60-urdu@a04c2fe5faa488a24e81dcc1904ae21bd4db2ce7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/a04c2fe5faa488a24e81dcc1904ae21bd4db2ce7/training_args.bin
2.93 kB
- Xet hash:
- 816f79435bd7474c4b2cf54e22b9828f653fc28803f7e488320927a44026a692
- Size of remote file:
- 2.93 kB
- SHA256:
- d56f6d44305829a079183cf5f7aae62b708fe14ea753269c46533aaad69cd05b
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