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prithivMLmods 
posted an update 1 day ago
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Try CUA GUI Operator 🖥️ Space, the demo of some interesting multimodal ultra-compact Computer Use Agent (CUA) models in a single app, including Fara-7B, UI-TARS-1.5-7B, and Holo models, to perform GUI localization tasks.

● CUA-GUI-Operator [Demo]: prithivMLmods/CUA-GUI-Operator
● Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations

Other related multimodal spaces

● Qwen3-VL: prithivMLmods/Qwen3-VL-HF-Demo
● Multimodal-VLM-v1.0: prithivMLmods/Multimodal-VLM-v1.0
● Vision-to-VibeVoice-en: prithivMLmods/Vision-to-VibeVoice-en

I have planned to add Chrome sandboxes to streamline it and turn it into a browser based CUA multimodal tool, which will be added to the same space soon.

To know more about it, visit the app page or the respective model page!
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prithivMLmods 
posted an update 3 days ago
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One speech model with seven voices, streamlined with multimodal capabilities for vision tasks. Performs vision(image-text) to audio inference with Qwen2.5-VL + VibeVoice-Realtime-0.5B. Vision to VibeVoice (EN) - The demo is live. 🗣️🔥

🤗 Vision-to-VibeVoice-en [Demo]: prithivMLmods/Vision-to-VibeVoice-en
✨ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨ Speech [VibeVoice-Realtime-0.5B]: microsoft/VibeVoice-Realtime-0.5B
✨ Vision [Qwen2.5-VL]: Qwen/Qwen2.5-VL-7B-Instruct

To know more about it, visit the app page or the respective model page!
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prithivMLmods 
posted an update 7 days ago
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Hello everyone,

The strangerzonehf [HF] Community / Organization Page, which is maintained by me, has reached the Top 10 Developer Pages ranking at 6th place, contributing 3.4% in the calendar cycle from August 2024 to August 2025. It is also the only South Asia / Indian page in the list. I could not be more proud to be doing things for the community. ❤️🤗

Source: https://www.dataprovenance.org/economies-of-open-intelligence.pdf

It is a pleasure to be a part of it.
Thank you!
@prithivMLmods
prithivMLmods 
posted an update 11 days ago
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Introducing the Super-OCRs Demo, a comparison of state-of-the-art multimodal OCR VLMs, including HunyuanOCR, DeepSeekOCR, Dots, and Nanonets in one space for performing OCR, rendering LaTeX and Markdown, and visual grounding (layout). Find the related Spaces and models below.🤗🔥

✨Super-OCRs[Demo]: prithivMLmods/Super-OCRs-Demo
✨Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨GitHub: https://github.com/PRITHIVSAKTHIUR/Super-OCRs-Demo

⭐ Models Used:
✦ HunyuanOCR: tencent/HunyuanOCR
✦ DeepSeek-OCR: (-) deepseek-ai/DeepSeek-OCR (+) prithivMLmods/DeepSeek-OCR-Latest-BF16.I64
✦ Dots.OCR: (-) rednote-hilab/dots.ocr (+) prithivMLmods/Dots.OCR-Latest-BF16
✦ Nanonets-OCR2-3B: nanonets/Nanonets-OCR2-3B

⭐ Some Other Relevant Apps:
✦ Qwen3-VL-HF-Demo: prithivMLmods/Qwen3-VL-HF-Demo
✦ Qwen3-VL-Outpost: prithivMLmods/Qwen3-VL-Outpost
✦ Multimodal-OCR: prithivMLmods/Multimodal-OCR
✦ Multimodal-OCR2: prithivMLmods/Multimodal-OCR2
✦ Multimodal-OCR3: https://huggingface.co/spaces/prithivMLmods/Multimodal-OCR3
✦ DeepSeek-OCR-experimental: prithivMLmods/DeepSeek-OCR-experimental

To know more about it, visit the app page or the respective model page!
prithivMLmods 
posted an update 15 days ago
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Introducing the advanced sketch-board editor "Nano-Banana-Pro-Sketch-Board" powered by the Gemini 2.5 Flash Image and Gemini 3 Pro Preview Image models through the Gemini API. This version includes more features than the Nano-Banana-AIO app for drawing and prompt-based concept transformation of freestyle sketches. 🔥🍌

✨Nano-Banana-Pro-Sketch-Board: prithivMLmods/Nano-Banana-Pro-Sketch-Board
✨Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
✨Github: https://github.com/PRITHIVSAKTHIUR/Nano-Banana-Pro-Sketch-Board
✨Model-Garden: https://tinyurl.com/4xxs9dvy

Some Other Relevant Apps [OSS]

⭐Qwen-Image-Edit-2509-LoRAs-Fast-Fusion: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast-Fusion
⭐Qwen-Image-Edit-2509-LoRAs-Fast: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast
⭐Photo-Mate-i2i: prithivMLmods/Photo-Mate-i2i
⭐Kontext-Photo-Mate-v2: https://huggingface.co/spaces/prithivMLmods/Kontext-Photo-Mate-v2

Note: The Nano-Banana-Pro-Sketch-Board demo requires a Gemini API key for the editing process. Your API key will be removed when the app is reloaded or closed. Your key remains safe and will not be exposed to any medium. Also, the Gemini 3 Pro Preview Image model may require a paid API key from a Google Cloud project with billing enabled.

To know more about it, visit the app info section or the respective Model Garden page!
prithivMLmods 
posted an update 16 days ago
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Try the demo of NVIDIA Nemotron Parse v1.1, NVIDIA's latest VLM for understanding document semantics and extracting text and table elements with spatial grounding. It is capable of comprehensive text understanding and document structure analysis in a given document, and can provide bounding boxes with coordinates.

⭐Space[Demo]: prithivMLmods/NVIDIA-Nemotron-Parse-OCR
⭐Model: nvidia/NVIDIA-Nemotron-Parse-v1.1
⭐Multimodal-Spaces: https://huggingface.co/collections/prithivMLmods/multimodal-implementations

Some relevant Spaces

⭐DeepSeek-OCR-experimental [latest transformers]: prithivMLmods/DeepSeek-OCR-experimental
⭐Qwen3-VL-Outpost: prithivMLmods/Qwen3-VL-Outpost
⭐Multimodal-OCR3: https://huggingface.co/spaces/prithivMLmods/Multimodal-OCR3

Check out the other spaces in the multimodal implementation collection.

To know more about it, visit the app page or the respective model page!
prithivMLmods 
posted an update 19 days ago
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Try the all-new trending Qwen-Image-Edit-2509 (Multi-Image-Edits) specialized adapter demos, including Cloth-Design-Fuse, Texture Edit, Guided-Objects-Patching, and more — all in a single Hugging Face Space. The demo link is provided below. 🤗🔥

⮞ Space[Demo]: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast-Fusion
⮞ Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
⮞ Base Model: Qwen/Qwen-Image-Edit-2509

Similar applications↗️

⮞ Kontext-Photo-Mate-v2: https://huggingface.co/spaces/prithivMLmods/Kontext-Photo-Mate-v2
⮞ Photo-Mate-i2i: prithivMLmods/Photo-Mate-i2i
⮞ Qwen-Image-Edit-2509-LoRAs-Fast: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast

To know more about it, visit the app page or the respective model page!
prithivMLmods 
posted an update 20 days ago
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Made a demo for multimodal understanding of Qwen3-VL space for tasks including point annotation, detection, captioning, guided text inferences, and more. Find the demo link below. 🤗↗️

⮞ Space[Demo]: prithivMLmods/Qwen3-VL-HF-Demo
⮞ Model Used: Qwen/Qwen3-VL-4B-Instruct
⮞ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
⮞ GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-3VL-Multimodal-Understanding

To know more about it, visit the app page or the respective model page!
prithivMLmods 
posted an update 22 days ago
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Made a small write up and experimental finetuning guide for MetaCLIP2 for Image Classification on Downstream Tasks. The blog titled Fine Tuning MetaCLIP 2 for Image Classification on Downstream Tasks demonstrates the step by step finetuning using CIFAR10 and is also flexible for adapting to other datasets. For more details, check out the linked blog below. 🤗↗️

⮞ Blog Article: https://huggingface.co/blog/prithivMLmods/metaclip2-downstream-finetune
⮞ Demo Space[Zero-Shot Classification]: prithivMLmods/metaclip-2-demo

Some other models
╰› MetaCLIP-2-Cifar10: prithivMLmods/MetaCLIP-2-Cifar10
╰› MetaCLIP-2-Age-Range-Estimator: prithivMLmods/MetaCLIP-2-Age-Range-Estimator
╰› MetaCLIP-2-Gender-Identifier: prithivMLmods/MetaCLIP-2-Gender-Identifier
╰› MetaCLIP-2-Open-Scene: prithivMLmods/MetaCLIP-2-Open-Scene

⮞ Collection: https://huggingface.co/collections/prithivMLmods/metaclip2-image-classification-experiments

To know more about it, visit the app page or the respective model page!