Instructions to use laion/voiceclap-commercial-genuineness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/voiceclap-commercial-genuineness with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="laion/voiceclap-commercial-genuineness")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("laion/voiceclap-commercial-genuineness", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Standalone VoiceCLAP-commercial genuineness predictor (bundled embedder + MLP head, val HTML)
7265b0f verified Download genuineness_head_balanced.pt from laion/voiceclap-commercial-genuineness: direct link, hf CLI and curl.
- Browser
- Download file 166 kB
-
https://huggingface.co/laion/voiceclap-commercial-genuineness/resolve/main/genuineness_head_balanced.pt
- Command line
-
hf download hf://laion/voiceclap-commercial-genuineness/genuineness_head_balanced.pt
-
curl -L -o genuineness_head_balanced.pt https://huggingface.co/laion/voiceclap-commercial-genuineness/resolve/main/genuineness_head_balanced.pt
166 kB
- Xet hash:
- fa13d0ab596a10bb7ba7a599d1cca997dc79ec510be1b1598c4530bb41657fdb
- Size of remote file:
- 166 kB
- SHA256:
- 7d657614cb89f20b11d0d4fe4022e100b6788986bb6f087213c6abf984ea06ba
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