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:
- 82b28bedf200f243c019045a0491e35557452ba74c93389c007fbc9aef65d7e9
- Size of remote file:
- 967 MB
- SHA256:
- f94cea276e07b410e6e38faa4b59e52c77c3d6e254823e2a6d77363279bbe4e6
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