Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Saugat20021/whisper-small-inbrowser-proctor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saugat20021/whisper-small-inbrowser-proctor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Saugat20021/whisper-small-inbrowser-proctor")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Saugat20021/whisper-small-inbrowser-proctor") model = AutoModelForSpeechSeq2Seq.from_pretrained("Saugat20021/whisper-small-inbrowser-proctor") - Notebooks
- Google Colab
- Kaggle
Ctrl+K