Loading
Resource directory
Search Sweet Tea Pipes, external workflows, models, node packs, and guides in one evidence-linked catalog.
Start with a workflow instead ↗Search results
19 shown of 29,901
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset. It achieves the following results on the evaluation set: Loss: 1.4378 Accuracy: 0.64
Supervised object detector from the ARGUS project (FIAP IADT, Phase 5 Hackathon). It locates cloud/software components in architecture diagram images and classifies them into 21 cloud-agnostic canonical classes (AWS,...
Another merger from my TI's
This is the SD 1.5 version of Amy, and was created using only words, no images.
The weight can be used from 0.1 to 1