TempoFunk Small 7.8k samples of metadata and encoded latents & prompts of random videos. Data format Video frame latents Numpy arrays 120 frames, 512x512 source size Encoded shape (120, 4, 64, 64) CLIP (openai) encoded prompts Video description (as seen in metadata) Encoded shape (77,768) Video metadata as JSON (description, tags, categories, source URL, etc.)
Use this model
Pull with QuantumShield
quantumshield pull TempoFunk/small Verify integrity
quantumshield verify TempoFunk/small pip install
pip install quantumshield && quantumshield pull TempoFunk/small Unverified Model
This model has not been PQC-verified. File integrity cannot be guaranteed against quantum threats.
README.md
small
TempoFunk Small 7.8k samples of metadata and encoded latents & prompts of random videos. Data format Video frame latents Numpy arrays 120 frames, 512x512 source size Encoded shape (120, 4, 64, 64) CLIP (openai) encoded prompts Video description (as seen in metadata) Encoded shape (77,768) Video metadata as JSON (description, tags, categories, source URL, etc.)
Intended Uses
This model is registered on the QuantaMrkt quantum-safe registry. This model has not yet been PQC-verified.
Quick Start
# Install the CLI pip install quantumshield # Pull the model quantumshield pull TempoFunk/small # Verify file integrity quantumshield verify TempoFunk/small
About
TempoFunk Small 7.8k samples of metadata and encoded latents & prompts of random videos. Data format Video frame latents Numpy arrays 120 frames, 512x512 source size Encoded shape (120, 4, 64, 64) CLIP (openai) encoded prompts Video description (as seen in metadata) Encoded shape (77,768) Video metadata as JSON (description, tags, categories, source URL, etc.)
Get this model
Pull with QuantumShield
quantumshield pull TempoFunk/small Verify signatures
quantumshield verify TempoFunk/small