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This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.7329 Accuracy: 0.5333
The lovely Amina Faroukh was trained on 64 AI prompted images.
Mathematical Formula Recognition (MFR) model from Pix2Text (P2T).
use this trigger word or it will not work lol
The demo are generated on TensorArt
Trained on clip skip 1 on top of ACertainty
🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨
A Pokémon-oriented style LoRA inspired by Azre, aimed at clean creature illustration, readable anatomy, and a stylized digital finish. It works best when the prompt already defines the creature clearly and the LoRA...
timm (image encoder only) weights
Works best at 0.75 weight.
Cyborg Style LORA Flux. Trained with 1024p Pictures 20 Hours 3300 Steps with FLUX .DEV
This repository contains the audio encoder model presented in the paper The CMU-AIST submission for the ICME 2025 Audio Encoder Challenge.
