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SilentWraith

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updated a Space 14 days ago

SilentWraith/HeartDiseasePredictor_Model

published a Space 15 days ago

SilentWraith/HeartDiseasePredictor_Model

upvoted an article 17 days ago

Welcome to Inference Providers on the Hub 🔥

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SilentWraith's activity

updated a Space 14 days ago

HeartDiseasePredictor Model

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published a Space 15 days ago

HeartDiseasePredictor Model

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upvoted an article 17 days ago

Article

Welcome to Inference Providers on the Hub 🔥

27 days ago

• 384

updated a Space 19 days ago

OminiControl

🌍

Generate detailed images with subject-driven prompts

liked 2 models 23 days ago

deepseek-ai/DeepSeek-R1

Text Generation • Updated 14 days ago • 4.43M • • 9.99k

deepseek-ai/DeepSeek-V3

Text Generation • Updated about 1 month ago • 2.73M • • 3.52k

published a Space about 1 month ago

Image

🖼

Generate images from text prompts

liked a model 7 months ago

meta-llama/Llama-3.1-405B-Instruct-FP8

Text Generation • Updated Sep 25, 2024 • 13.3k • 186

liked a Space 8 months ago

NLP Conferences

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reacted to felfri's post with 🚀 9 months ago

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2319

🚀 Excited to announce the release of our new research paper, "LLAVAGUARD: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment"!
In this work, we introduce LLAVAGUARD, a family of cutting-edge Vision-Language Model (VLM) judges designed to enhance the safety and integrity of vision datasets and generative models. Our approach leverages flexible policies for assessing safety in diverse settings. This context awareness ensures robust data curation and model safeguarding alongside comprehensive safety assessments, setting a new standard for vision datasets and models. We provide three versions (7B, 13B, and 34B) and our data, see below. This achievement wouldn't have been possible without the incredible teamwork and dedication of my great colleagues @LukasHug , @PSaiml , @mbrack . 🙏 Together, we've pushed the boundaries of what’s possible at the intersection of large generative models and safety.
🔍 Dive into our paper to explore:
Innovative methodologies for dataset curation and model safeguarding.
State-of-the-art safety assessments.
Practical implications for AI development and deployment.
Find more at AIML-TUDA/llavaguard-665b42e89803408ee8ec1086 and https://ml-research.github.io/human-centered-genai/projects/llavaguard/index.html

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reacted to albertvillanova's post with 🚀 10 months ago

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1671

🚀 We recently released datasets 2.19.0! 📦

🔥 What's New:
- Polars integration 🐻‍❄️
- fsspec support for conversion to JSON, CSV, and Parquet
- Mode parameter for Image feature
- CLI function to convert script-datasets to Parquet
- Dataset.take and Dataset.skip

Plus, a bunch of general improvements & bug fixes!

Check out the release notes: https://github.com/huggingface/datasets/releases/tag/2.19.0

Upgrade now and power up your data workflows! 💥