Audio Classification
Transformers
Safetensors
English
voiceshield
whisper
voice-security
malicious-detection
speech
custom_code
Instructions to use Emvo-ai/voiceSHIELD-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emvo-ai/voiceSHIELD-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Emvo-ai/voiceSHIELD-small", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("Emvo-ai/voiceSHIELD-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download label_map.json from Emvo-ai/voiceSHIELD-small: direct link, hf CLI and curl.
- Browser
- Download file 31 Bytes
-
https://huggingface.co/Emvo-ai/voiceSHIELD-small/resolve/main/label_map.json
- Command line
-
hf download hf://Emvo-ai/voiceSHIELD-small/label_map.json
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curl -L -o label_map.json https://huggingface.co/Emvo-ai/voiceSHIELD-small/resolve/main/label_map.json
31 Bytes
| {"0": "safe", "1": "malicious"} |