Audio Classification
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use gokulsrinivasagan/whisper-base.en-speech-commands-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokulsrinivasagan/whisper-base.en-speech-commands-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="gokulsrinivasagan/whisper-base.en-speech-commands-v1")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("gokulsrinivasagan/whisper-base.en-speech-commands-v1") model = AutoModelForAudioClassification.from_pretrained("gokulsrinivasagan/whisper-base.en-speech-commands-v1") - Notebooks
- Google Colab
- Kaggle