Feature Extraction
Transformers
Safetensors
English
voiceclap-small
audio
speech
emotion
clap
contrastive
voice
custom_code
Instructions to use VoiceNet/voiceclap-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VoiceNet/voiceclap-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="VoiceNet/voiceclap-small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VoiceNet/voiceclap-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Use valid pipeline tag
Browse files
README.md
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language:
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library_name: transformers
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pipeline_tag:
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tags:
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- audio
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- speech
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language:
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- en
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library_name: transformers
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pipeline_tag: feature-extraction
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tags:
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- audio
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- speech
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