Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
stuttered-speech
speech-recognition
asr
disfluency
fluencybank
Generated from Trainer
Eval Results (legacy)
Instructions to use arielcerdap/whisper-medium-fluencybank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arielcerdap/whisper-medium-fluencybank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arielcerdap/whisper-medium-fluencybank")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arielcerdap/whisper-medium-fluencybank") model = AutoModelForSpeechSeq2Seq.from_pretrained("arielcerdap/whisper-medium-fluencybank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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