Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use codewithdark/WhisperLiveSubs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/WhisperLiveSubs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="codewithdark/WhisperLiveSubs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("codewithdark/WhisperLiveSubs") model = AutoModelForSpeechSeq2Seq.from_pretrained("codewithdark/WhisperLiveSubs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3d792ac48dd3ee5c78ef73f708d9d151767f09aeb4525f4dd233530909d4815
- Size of remote file:
- 5.3 kB
- SHA256:
- 5a90de0327481b80f1d6be96946e764918840c1ba93a1472800a78ead5152809
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