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 378 MB
-
https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/1222ae281ea4d6cc4dbdf8b1267c37d9b2a89850/pytorch_model.bin
- Command line
-
hf download hf://kingabzpro/wav2vec2-60-urdu@1222ae281ea4d6cc4dbdf8b1267c37d9b2a89850/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/1222ae281ea4d6cc4dbdf8b1267c37d9b2a89850/pytorch_model.bin
378 MB
- Xet hash:
- e2b74ca8cd1e9913e690d3cde30d5ed7dad1a64faadb461cbfe197ac97deef42
- Size of remote file:
- 378 MB
- SHA256:
- a19adbb9e69d48ddc293f4bf8e8d32e745499ab688a08d805d9323cdc46cb9bf
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