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JustinLin610  authored a paper 1 day ago
Qwen2.5-VL Technical Report
frimelle  authored a paper 1 day ago
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
frimelle  authored a paper 1 day ago
Presumed Cultural Identity: How Names Shape LLM Responses
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fdaudens 
posted an update 3 days ago
as-cle-bert 
posted an update 3 days ago
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2160
I built an AI agent app in less than 8 hours🤯
And, believe me, this is 𝗻𝗼𝘁 clickbait❌

GitHub 👉 https://github.com/AstraBert/PapersChat
Demo 👉 as-cle-bert/PapersChat

The app is called 𝐏𝐚𝐩𝐞𝐫𝐬𝐂𝐡𝐚𝐭, and it is aimed at 𝗺𝗮𝗸𝗶𝗻𝗴 𝗰𝗵𝗮𝘁𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗽𝗮𝗽𝗲𝗿𝘀 𝗲𝗮𝘀𝗶𝗲𝗿.

𝐇𝐞𝐫𝐞 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐭𝐡𝐞 𝐚𝐩𝐩 𝐝𝐨𝐞𝐬:

📄 Parses the papers that you upload thanks to LlamaIndex🦙 (either with LlamaParse or with simpler, local methods)
📄 Embeds documents both with a sparse and with a dense encoder to enable hybrid search
📄 Uploads the embeddings to Qdrant
⚙️ Activates an Agent based on mistralai/Mistral-Small-24B-Instruct-2501 that will reply to your prompt
🧠 Retrieves information relevant to your question from the documents
🧠 If no relevant information is found, it searches PubMed and arXiv databases
🧠 Returns a grounded answer to your prompt

𝐇𝐨𝐰 𝐝𝐢𝐝 𝐈 𝐦𝐚𝐧𝐚𝐠𝐞 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐭𝐡𝐢𝐬 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝟖 𝐡𝐨𝐮𝐫𝐬?

Three key points:

- LlamaIndex🦙 provides countless integrations with LLM providers, text embedding models and vectorstore services, and takes care of the internal architecture of the Agent. You just plug it in, and it works!🔌⚡
- Qdrant is a vector database service extremely easy to set up and use: you just need a one-line Docker command😉
- Gradio makes frontend development painless and fast, while still providing modern and responsive interfaces🏗️

And a bonus point:

- Deploying the demo app couldn't be easier if you use Gradio-based Hugging Face Spaces🤗

So, no more excuses: build your own AI agent today and do it fast, (almost) for free and effortlessly🚀

And if you need a starting point, the code for PapersChat is open and fully reproducible on GitHub 👉 https://github.com/AstraBert/PapersChat
sayakpaul 
posted an update 4 days ago
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2707
Inference-time scaling meets Flux.1-Dev (and others) 🔥

Presenting a simple re-implementation of "Inference-time scaling diffusion models beyond denoising steps" by Ma et al.

I did the simplest random search strategy, but results can potentially be improved with better-guided search methods.

Supports Gemini 2 Flash & Qwen2.5 as verifiers for "LLMGrading" 🤗

The steps are simple:

For each round:

1> Starting by sampling 2 starting noises with different seeds.
2> Score the generations w.r.t a metric.
3> Obtain the best generation from the current round.

If you have more compute budget, go to the next search round. Scale the noise pool (2 ** search_round) and repeat 1 - 3.

This constitutes the random search method as done in the paper by Google DeepMind.

Code, more results, and a bunch of other stuff are in the repository. Check it out here: https://github.com/sayakpaul/tt-scale-flux/ 🤗
fdaudens 
posted an update 5 days ago
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2213
Will we soon all have our own personalized AI news agents? And what does it mean for journalism?

Just built a simple prototype based on the Hugging Face course. It lets you get customized news updates on any topic.

Not perfect yet, but you can see where things could go: we'll all be able to build personalized AI agents that curate & analyze news for each of us. And users who could decide to build custom news products for their needs, such as truly personalized newsletters or podcasts.

The implications for both readers & news organizations are significant. To name a few:
- Will news articles remain the best format for informing people?
- What monetization model will work for news organizations?
- How do you create an effective conversion funnel?

👉 Try it here: fdaudens/my-news-agent (Code is open-source)
👉 Check out the course: https://huggingface.co/learn/agents-course/unit0/introduction
fdaudens 
posted an update 7 days ago
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2078
🔊 Meet Kokoro Web - Free, ML speech synthesis on your computer, that'll make you ditch paid services!

28 natural voices, unlimited generations, and WebGPU acceleration. Perfect for journalists and content creators.

Test it with full articles—sounds amazingly human! 🎯🎙️

Xenova/kokoro-web
as-cle-bert 
posted an update 7 days ago
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1360
𝐒𝐜𝐢𝐍𝐞𝐰𝐬𝐁𝐨𝐭 - 𝐑𝐞𝐩𝐨𝐫𝐭 𝐝𝐚𝐢𝐥𝐲 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐧𝐞𝐰𝐬 𝐨𝐧 𝐁𝐥𝐮𝐞𝐒𝐤𝐲

GitHub 👉 https://github.com/AstraBert/SciNewsBot
BlueSky 👉 https://bsky.app/profile/sci-news-bot.bsky.social

Hi there HF Community!🤗
I just created a very simple AI-powered bot that shares fact-checked news about Science, Environment, Energy and Technology on BlueSky :)

The bot takes news from Google News, filters out the sources that are not represented in the Media Bias Fact Check database, and then evaluates the reliability of the source based on the MBFC metrics. After that, it creates a catchy headline for the article and publishes the post on BlueSky📰

The cool thing? SciNewsBot is open-source and is cheap to maintain, as it is based on mistralai/Mistral-Small-24B-Instruct-2501 (via Mistral API). You can reproduce it locally, spinning it up on your machine, and even launch it on cloud through a comfy Docker setup🐋

Have fun and spread Science!✨
fdaudens 
posted an update 8 days ago
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2653
⭐️ The AI Energy Score project just launched - this is a game-changer for making informed decisions about AI deployment.

You can now see exactly how much energy your chosen model will consume, with a simple 5-star rating system. Think appliance energy labels, but for AI.

Looking at transcription models on the leaderboard is fascinating: choosing between whisper-tiny or whisper-large-v3 can make a 7x difference. Real-time data on these tradeoffs changes everything.

166 models already evaluated across 10 different tasks, from text generation to image classification. The whole thing is public and you can submit your own models to test.

Why this matters:
- Teams can pick efficient models that still get the job done
- Developers can optimize for energy use from day one
- Organizations can finally predict their AI environmental impact

If you're building with AI at any scale, definitely worth checking out.

👉 leaderboard: https://lnkd.in/esrSxetj
👉 blog post: https://lnkd.in/eFJvzHi8

Huge work led by @sasha with @bgamazay @yjernite @sarahooker @regisss @meg
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as-cle-bert 
posted an update 9 days ago
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2724
𝐏𝐡𝐢𝐐𝐰𝐞𝐧𝐒𝐓𝐄𝐌 - 𝐚 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐒𝐓𝐄𝐌 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧

Demo 👉 https://pqstem.org
GitHub 👉 https://github.com/AstraBert/PhiQwenSTEM

Hello HF community!🤗
Ever struggled with some complex Maths problem or with a very hard Physics question? Well, fear no more, because now you can rely on PhiQwenSTEM, an assistant specialized in answering STEM-related question!
The assistant can count on a knowledge base of 𝟭𝟱𝗸+ 𝘀𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗦𝗧𝗘𝗠 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻-𝗮𝗻𝘀𝘄𝗲𝗿 𝗽𝗮𝗶𝗿𝘀 spanning the domains of Chemistry, Physics, Matemathics and Biochemistry (from EricLu/SCP-116K). It also relies on the combined power of microsoft/Phi-3.5-mini-instruct and Qwen/QwQ-32B-Preview to produce reliable and reasoned answers.
For the next 30 days, you will be able to try for free the web demo: https://pqstem.org
In the GitHub repo you can find all the information to reproduce PhiQwenSTEM 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗹𝗼𝗰𝗮𝗹 𝗺𝗮𝗰𝗵𝗶𝗻𝗲, 𝗯𝗼𝘁𝗵 𝘃𝗶𝗮 𝘀𝗼𝘂𝗿𝗰𝗲 𝗰𝗼𝗱𝗲 𝗮𝗻𝗱 𝘄𝗶𝘁𝗵 𝗮 𝗰𝗼𝗺𝗳𝘆 𝗗𝗼𝗰𝗸𝗲𝗿🐋 𝘀𝗲𝘁𝘂𝗽: https://github.com/AstraBert/PhiQwenSTEM
fdaudens 
posted an update 11 days ago
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1282
🔥 Video AI is taking over! Out of 17 papers dropped on Hugging Face today, 6 are video-focused - from Sliding Tile Attention to On-device Sora. The race for next-gen video tech is heating up! 🎬🚀
kadirnar 
posted an update 12 days ago
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3719
Researchers developed Sonic AI enabling precise facial animation from speech cues 🎧 Decouples head/expression control via audio tone analysis + time-aware fusion for natural long-form synthesis
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fdaudens 
posted an update 15 days ago
fdaudens 
posted an update 19 days ago
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2384
📊 R1 just built its own download dashboard!

Some fresh stats: +6M downloads for 800+ derivative models vs 2M for originals. Watch the numbers grow here: fdaudens/deepseek-download-stats
as-cle-bert 
posted an update 21 days ago
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Hi HuggingFace community!🤗

I just published an article in which I try to articulate some counter-points to Dario Amodei's post "On DeepSeek and Export Control"👉 https://huggingface.co/blog/as-cle-bert/why-we-dont-need-export-control

I try to address several key passages of the third section from Amodei's post (https://darioamodei.com/on-deepseek-and-export-controls), bringing my perspective on the importance of open source, open knowledge and multipolarity in a crucial field for our future such as Artificial Intelligence.

Happy reading!✨
fdaudens 
posted an update 22 days ago
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🎯 Kokoro TTS just hit v1.0! 🚀

Small but mighty: 82M parameters, runs locally, speaks multiple languages. The best part? It's Apache 2.0 licensed!
This could unlock so many possibilities ✨

Check it out: hexgrad/Kokoro-82M
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sayakpaul 
posted an update 22 days ago
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1960
We have been cooking a couple of fine-tuning runs on CogVideoX with finetrainers, smol datasets, and LoRA to generate cool video effects like crushing, dissolving, etc.

We are also releasing a LoRA extraction utility from a fully fine-tuned checkpoint. I know that kind of stuff has existed since eternity, but the quality on video models was nothing short of spectacular. Below are some links:

* Models and datasets: https://huggingface.co/finetrainers
* finetrainers: https://github.com/a-r-r-o-w/finetrainers
* LoRA extraction: https://github.com/huggingface/diffusers/blob/main/scripts/extract_lora_from_model.py
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fdaudens 
posted an update 23 days ago
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💪 The open-source community is really unstoppable:

+5M total downloads for DeepSeek models on @hf .co
+4M are from the 700 models created by the community
That's 30% more than yesterday!
fdaudens 
posted an update 24 days ago
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🚀 The open source community is unstoppable: 4M total downloads for DeepSeek models on Hugging Face, with 3.2M coming from the +600 models created by the community.

That's 30% more than yesterday!
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fdaudens 
posted an update 25 days ago
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Yes, DeepSeek R1's release is impressive. But the real story is what happened in just 7 days after:

- Original release: 8 models, 540K downloads. Just the beginning...

- The community turned those open-weight models into +550 NEW models on Hugging Face. Total downloads? 2.5M—nearly 5X the originals.

The reason? DeepSeek models are open-weight, letting anyone build on top of them. Interesting to note that the community focused on quantized versions for better efficiency & accessibility. They want models that use less memory, run faster, and are more energy-efficient.

When you empower builders, innovation explodes. For everyone. 🚀

The most popular community model? @bartowski 's DeepSeek-R1-Distill-Qwen-32B-GGUF version — 1M downloads alone.
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sayakpaul 
posted an update 25 days ago
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We have authored a post to go over the state of video generation in the Diffusers ecosystem 🧨

We cover the models supported, the knobs of optims our users can fire, fine-tuning, and more 🔥

5-6GBs for HunyuanVideo, sky is the limit 🌌 🤗
https://huggingface.co/blog/video_gen
felfri 
authored a paper 30 days ago