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:
- 7ce57ec3104c4a1d371dad8ead9b23c97c3665241c0cc4922101650c4c61b120
- Size of remote file:
- 5.3 kB
- SHA256:
- f5b0446fa92c862d68f1022fb9cf189750594a09f5deb85d5c2ff6f85b4657e1
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