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Clap Htsat Base

huggingface.co·Infrastructure

Clap Htsat Base is a model package available in ONNX format, designed for music audio and text embedding tasks. The bundle includes pre-converted ONNX Runtime artifacts based on the LAION-CLAP music checkpoint, specifically using the HTSAT-base architecture for audio and a RoBERTa-base architecture for text. The audio component accepts mono waveform inputs of 10 seconds at 48 kHz, processes them through the HTSAT-base audio tower, and outputs L2-normalized embeddings of size 512. The mel spectrogram is computed within the model graph. The text component utilizes the RoBERTa-base text tower, taking tokenized text inputs and producing similarly L2-normalized embeddings of size 512. The package also contains the exact RoBERTa tokenizer used by the checkpoint, ensuring consistency in text processing, as well as a manifest file with SHA-256 checksums and byte counts for each artifact. This model bundle is licensed under CC0-1.0, reflecting its open-source status and allowing for unrestricted use. It is intended as a mechanical ONNX conversion of the original upstream checkpoint and is packaged for optional use with a semantic-analysis provider named muzaiten-features-clap. The evidence does not specify particular user roles or application domains beyond its focus on music audio and text embedding, nor does it detail integration options or further deployment instructions. The model is hosted on Hugging Face and is available for download and use in compatible ONNX Runtime environments.

Open SourceCC0-1.0
WebAPI
C
Clap Htsat Base preview
Visit huggingface.co↗
⭐2.2k
stars
🍴214
forks
✓4
features
📅2022
since

Overview

4 features

Clap Htsat Base is an Other AI product. It focuses on providing an open-source model for extracting embeddings from music audio and text for semantic analysis. It is built as an open-source project for audio AI researchers and developers. Clap Htsat Base is open source under the CC0-1.0 license. It runs on the web and API.

muzaiten builds and maintains Clap Htsat Base, and the product first shipped in 2022. Development happens publicly on GitHub with 2.2k stars. Key capabilities include audio embedding, text embedding, and ONNX format.

  • ✓Audio embedding
  • ✓Text embedding
  • ✓ONNX format
  • ✓Music analysis

Tags

audio-embeddingonnx-modelmusic-analysis

AI capabilities

Inference: LocalWeights: Open

Built with & integrations

Hosting
aws
Runs on
BrowserAPI-only

Trust & compliance

LicenseCC0-1.0
Verified signals
✓ HTTPS✓ Privacy Policy✓ Terms of Service✓ Open Source✓ Free tier✓ GitHub · ★ 2.2k
Legal
Privacy Policy →Terms of Service →

Recent events

Latest indexed changes and source events

  1. IndexedJul 12, 1:19 AM

    muzaiten/clap-htsat-base-onnx verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about Clap Htsat Base

What does Clap Htsat Base do?
Clap Htsat Base focuses on providing an open-source model for extracting embeddings from music audio and text for semantic analysis. It is catalogued under Other AI on PulseGate.
Who is Clap Htsat Base for?
Clap Htsat Base is an open-source project built for audio AI researchers and developers.
Is Clap Htsat Base free?
Yes — Clap Htsat Base is open source under the CC0-1.0 license and free to use.
What platforms does Clap Htsat Base run on?
Clap Htsat Base runs on the web and API.
Is Clap Htsat Base still maintained?
PulseGate's automated liveness checks currently classify Clap Htsat Base as active.
What are alternatives to Clap Htsat Base?
Similar tools tracked by PulseGate include Mark HCATpp, Blip Image Captioning Base, and Dactyl Ai Text Detector.Mark HCATppBlip Image Captioning BaseDactyl Ai Text Detector
Who makes Clap Htsat Base?
Clap Htsat Base is developed by muzaiten.
When did Clap Htsat Base launch?
Clap Htsat Base first shipped in 2022.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
Open source
Yes · ★ 2.2k
License
CC0-1.0
First seen
Mar 12, 2022
Activity
🟢 Active
Status
🟢 Active
Built for
audio AI researchers and developers
Model
Open source
Solves
Providing an open-source model for extracting embeddings from music audio and text for semantic analysis.

Developer

muzaiten
Team
↗ GitHub

Open source

View on GitHub →
⭐ Stars
2,216
🍴 Forks
214
Open issues
67
Last commit
1y ago
Commits 90d
0
Contributors
17
Authorship
Team
Default branch
main

Live coverage

Confidence
Medium · 70
Indexed
Jul 12, 2026
Lifecycle
Alive
Activity
Active
First seen
Mar 2022
Last seen
3d ago
Identity audit (9)
Entity ID
cmrh3vmue0dl2u11t2129s0wi
Slug
muzaiten-clap-htsat-base-onnx-huggingface-co
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 12, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 12, 2026
Canonical URL
https://huggingface.co/muzaiten/clap-htsat-base-onnx

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  • Export to ONNX
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