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Fine-tune Vision-Language Models for image and video understanding tasks using Qwen2.5-VL and InternVL3 Image and video understanding adapted to your own specialized tasksIntermediate2 HOURSFine-Tune Vision Language Models
A webcam-based testbed for comparing VLMs across backendsIntermediate30 MINStream Real-Time Video to a Vision Language Model
Cutting-edge vision-language model exceling in high-quality reasoning from images.DownloadableFree Endpointllama-3.2-11b-vision-instruct
Cutting-edge vision-Language model exceling in high-quality reasoning from images.DownloadableFree Endpointllama-3.2-90b-vision-instruct
Open VLM for quantum computer calibration chart understanding across a range of qubit modalities.DownloadableFree Endpointising-calibration-1-35b-a3b
NVIDIA-Ising-Calibration-1.5 is a dense multimodal vision-language model built on Gemma 4 31B. It analyzes quantum computing calibration experiment plots and generates structured technical text.Free Endpointising-calibration-1.5-31b
Vision language model that excels in understanding the physical world using structured reasoning on videos or images.DownloadableFree Endpointcosmos3-nano-reasoner
552B MoE, 8B active params with native multimodal support and lower API cost using smaller KV cacheDownloadableFree Endpointdeepseek-v4.1-flash
Cutting-edge vision-language model exceling in retrieving text and metadata from images.Downloadablenemotron-parse
Cutting-edge vision-language model excelling in retrieving text and metadata from images.Downloadablenemotron-parse-2.0
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CL
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