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This is an embedding of a woman that I've generated consistent faces of thru SD and decided to make into an embedding for easier access in the future. It uses a mere 5 tokens.
This model is a diffusion model for unconditional image generation of cute 🦋.
Base model: LTXV 2.3 Trained words:
timm (image encoder only) weights
— You can find my Pixiv profile, Ko-Fi page & LoRA request forms @ beacons.ai/vortigraph —
StructEqTable-Deploy: A High-efficiency Open-source Toolkit for Table-to-Latex Transformation
Lora Strength : 0.7 - 0.9
This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.9251 Accuracy: 0.8151
Hugging Face | GitHub | Launch Blog | Documentation
Another merger from my TIs
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.0753 Accuracy: 0.9805
This model was trained by Shunsuke Mitsumori using mlsuperb2 recipe in espnet.
