Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
audio
hf-asr-leaderboard
Instructions to use shahd237/names-whisper-en-spectrogram-vanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahd237/names-whisper-en-spectrogram-vanilla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shahd237/names-whisper-en-spectrogram-vanilla")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shahd237/names-whisper-en-spectrogram-vanilla") model = AutoModelForSpeechSeq2Seq.from_pretrained("shahd237/names-whisper-en-spectrogram-vanilla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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