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/6fa37450e39cdabe7c82841366fceb3eea67a97b/pytorch_model.bin
- Command line
-
hf download hf://kingabzpro/wav2vec2-60-urdu@6fa37450e39cdabe7c82841366fceb3eea67a97b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kingabzpro/wav2vec2-60-urdu/resolve/6fa37450e39cdabe7c82841366fceb3eea67a97b/pytorch_model.bin
1.26 GB
- Xet hash:
- 48f88211c1c095b143470229ca8617d9ff2fdcc377b7a8dbe62cd9e4563635c3
- Size of remote file:
- 1.26 GB
- SHA256:
- 551cc6417da147a59f232914ec13f5ee485dc2e59763e47abe5b48f84db79598
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.