Feature Extraction
Transformers
Safetensors
ecapa_tdnn_speaker_encoder
image-feature-extraction
text-to-audio
audio-to-audio
audio-classification
speaker-embedding
ecapa-tdnn
x-vector
qwen3-tts
custom_code
Instructions to use marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("marksverdhei/Qwen3-Voice-Embedding-12Hz-1.7B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Finetune Model
#2 opened about 1 month ago
by
YuValeryc
Batching Behaviour
#1 opened 3 months ago
by
gclose19