Audio Classification
Transformers
Safetensors
PyTorch
zenvion_v04
feature-extraction
audio
voice-detection
voice-activity-detection
speech-recognition
speaker-recognition
emotion-detection
age-detection
gender-detection
accent-detection
language-identification
noise-robust
wav2vec2
multi-task-learning
deep-learning
ai
custom_code
Eval Results (legacy)
Instructions to use Darveht/zenvion-voice-detector-v0.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Darveht/zenvion-voice-detector-v0.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Darveht/zenvion-voice-detector-v0.4", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Darveht/zenvion-voice-detector-v0.4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
v0.4: Add missing config files, label mapping, vocab, CITATION + full README rewrite 32eff5c verified
Update to v0.4: fixed architecture, new training pipeline, inference, dataset loader & evaluation scripts f775ea9
Darveht commited on