laion/clap-htsat-fused
audio-classification model by laion
From the publisher
Model card & documentation
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Model card for CLAP: Contrastive Language-Audio Pretraining LAION-CLAP was trained on LAION-audio-630k The abstract of the paper states that: You can use this model for zero shot audio classification or extracting audio and/or textual features. You…
Read the full model card ↗ · Preview checked 2026-10-28T16:42:57.761Z
Inside the original model card — Document outline
- Model card for CLAP
- Dataset
- Table of Contents
- TL;DR
- Usage
- Uses
- Perform zero-shot audio classification
- Using pipeline
- Run the model:
- Run the model on CPU:
- Run the model on GPU:
- Citation
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
laion/clap-htsat-fused is a audio-classification model repository published by laion on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- audio-classification
- Library
- transformers
- Recent downloads (30 days)
- 6,980,489
- Cumulative likes
- 176
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 153,558,316
- Architecture
- ClapModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-02-16T20:45:11.000Z
- Last modified
- 2026-01-12T00:41:49.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:31.990Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.