Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Pashto
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ihanif/whisper_small_ps_augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/whisper_small_ps_augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/whisper_small_ps_augmented")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ihanif/whisper_small_ps_augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("ihanif/whisper_small_ps_augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b58e66e58ba826733b5aa6ccbf1957932ae029205288c387b99a78b1e32a8c9
- Size of remote file:
- 1.93 GB
- SHA256:
- a1002d1d1f52543b717c6981da336cb2b7d5de41f31e4ce2d17156a34b040ee6
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