import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-SFT ...

Torchvision DenseNet121 initialized from DenseNet121_Weights.IMAGENET1K_V1, fine-tuned for 4-class image classification. Bounding boxes are not used. This is a research classifier; it is not ...

Torchvision MobileNetV2 initialized from MobileNet_V2_Weights.IMAGENET1K_V2, fine-tuned for 4-class image classification. Bounding boxes are not used. This is a research classifier; it is not ...

How to use Studio-Research-M1/Qwen3.8-27B-Fable-Cold-Fusion-oQ8e-FP16-MTP-MLX with MLX: # Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm ...

DG6 is a LeRobot dataset (format v3.0) for one skill on an SO-101 arm: grip the green box. Each episode starts with the gripper above or near a 32 mm green box and ends after the box is lifted.

This dataset is an adversarial guardrails benchmark for agent services. It is designed to test whether guardrails correctly block harmful or disallowed agent actions while still allowing legitimate, ...

Synaps-Image is not a new image model. It is tooling that Synaptivo adds on top of a strong open generator, FLUX 3 Image Klein with its prompt upsampler PUP, both by Black Forest Labs. The tooling ...

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Binary semantic segmentation of building footprints from high-resolution orthophotos (aerial / satellite imagery). Trained with MMSegmentation using an HRNet-W48 backbone and an FCN head. This is the ...

The included Era0-Preview-evaluation-code.tar.gz contains a standalone XPolicyLab policy (policy/Era0_Preview/), inference runtime, install scripts, native three-seed evaluation driver and its README.

An int8 ONNX copy of OpenAI's English-only Whisper small model, for on-device speech recognition with ONNX Runtime. The Thì Thầm app uses it for English. It is ...

How to use xamiuz/llama-3.1-8b-ai-engineer with Transformers: # pip install -U transformers accelerate # Load model directly from transformers import AutoModel model ...