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Trained on : FLAIR-HUB dataset 🔗
Works best at 0.75 weight.
Another experiment, this time trained on source material created on a more photorealistic checkpoint. Strangely, despite being trained on a platinum blonde, she's sometimes a brunette.
Model weights for Learning the 3D Fauna of the Web.
Works best at 0.75 weight.
Model Type: Transformer-based encoder-decoder for OCR
This repository contains three fine-tuned TerraMind models, using terramindv1base backbone. They are able to segment respectively seismic fault scarps, paleo-landslides, and river active channels, based on Sentinel-2...
This model has been pushed to the Hub using michelangelo: Repo: Docs: [More Information Needed]
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
another merger from my TI's
GGUF-format weights of Roboflow RF-DETR Large (detection variant) for use with rfdetr.cpp, a C++/ggml implementation that matches the upstream PyTorch model on CPU.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Base model: LTXV2 Trained words: Naughty Woman sits moving wild her hips up and down with an orgamsic face ahegao style
