Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use iamhack/DH_ONM_WORDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamhack/DH_ONM_WORDS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="iamhack/DH_ONM_WORDS")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("iamhack/DH_ONM_WORDS") model = AutoModelForAudioClassification.from_pretrained("iamhack/DH_ONM_WORDS") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
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runs/Feb12_09-48-39_voice-ai-transformer/events.out.tfevents.1707731339.voice-ai-transformer
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