Feature Extraction
Transformers
Safetensors
English
voiceclap-small
audio
speech
emotion
clap
contrastive
voice
custom_code
Instructions to use laion/voiceclap-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/voiceclap-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="laion/voiceclap-small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("laion/voiceclap-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from laion/voiceclap-small: direct link, hf CLI and curl.
- Browser
- Download file 453 MB
-
https://huggingface.co/laion/voiceclap-small/resolve/main/model.safetensors
- Command line
-
hf download hf://laion/voiceclap-small/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/laion/voiceclap-small/resolve/main/model.safetensors
453 MB
- Xet hash:
- e27ff8fa241c4e0d6a196006775301bd0a27e2db33a5d0962f0284463ae644b5
- Size of remote file:
- 453 MB
- SHA256:
- 90032e4c237a363b3fa79c576d1673ad61360a269336a7c0242d18797bfe769f
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