temp-org

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victorΒ 
posted an update 26 days ago
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Qwen/QwQ-32B-Preview shows us the future (and it's going to be exciting)...

I tested it against some really challenging reasoning prompts and the results are amazing 🀯.

Check this dataset for the results: victor/qwq-misguided-attention
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victorΒ 
posted an update about 1 month ago
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Perfect example of why Qwen/Qwen2.5-Coder-32B-Instruct is insane?

Introducing: AI Video Composer πŸ”₯
huggingface-projects/ai-video-composer

Drag and drop your assets (images/videos/audios) to create any video you want using natural language!

It works by asking the model to output a valid FFMPEG and this can be quite complex but most of the time Qwen2.5-Coder-32B gets it right (that thing is a beast). It's an update of an old project made with GPT4 and it was almost impossible to make it work with open models back then (~1.5 years ago), but not anymore, let's go open weights πŸš€.
victorΒ 
posted an update about 1 month ago
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Qwen2.5-72B is now the default HuggingChat model.
This model is so good that you must try it! I often get better results on rephrasing with it than Sonnet or GPT-4!!
fffiloniΒ 
posted an update about 1 month ago
victorΒ 
posted an update 2 months ago
victorΒ 
posted an update 3 months ago
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2669
NEW - Inference Playground

Maybe like me you have always wanted a super easy way to compare llama3.2-1B vs. llama3.2-3B? or the same model with different temperatures?

Trying and comparing warm Inference API models has never been easier!
Just go to https://hf.co/playground, set your token and you're ready to go.
We'll keep improving, feedback welcome 😊
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fffiloniΒ 
posted an update 3 months ago
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Visionary Walter Murch (editor for Francis Ford Coppola), in 1999:

β€œ So let's suppose a technical apotheosis some time in the middle of the 21st century, when it somehow becomes possible for one person to make an entire feature film, with virtual actors. Would this be a good thing?

If the history of oil painting is any guide, the broadest answer would be yes, with the obvious caution to keep a wary eye on the destabilizing effect of following too intently a hermetically personal vision. One need only look at the unraveling of painting or classical music in the 20th century to see the risks.

Let's go even further, and force the issue to its ultimate conclusion by supposing the diabolical invention of a black box that could directly convert a single person's thoughts into a viewable cinematic reality. You would attach a series of electrodes to various points on your skull and simply think the film into existence.

And since we are time-traveling, let us present this hypothetical invention as a Faustian bargain to the future filmmakers of the 21st century. If this box were offered by some mysterious cloaked figure in exchange for your eternal soul, would you take it?

The kind of filmmakers who would accept, even leap, at the offer are driven by the desire to see their own vision on screen in as pure a form as possible. They accept present levels of collaboration as the evil necessary to achieve this vision. Alfred Hitchcock, I imagine, would be one of them, judging from his description of the creative process: "The film is already made in my head before we start shooting."”
β€”
Read "A Digital Cinema of the Mind? Could Be" by Walter Murch: https://archive.nytimes.com/www.nytimes.com/library/film/050299future-film.html

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victorΒ 
posted an update 4 months ago
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πŸ™‹ Calling all Hugging Face users! We want to hear from YOU!

What feature or improvement would make the biggest impact on Hugging Face?

Whether it's the Hub, better documentation, new integrations, or something completely different – we're all ears!

Your feedback shapes the future of Hugging Face. Drop your ideas in the comments below! πŸ‘‡
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victorΒ 
posted an update 4 months ago
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How good are you at spotting AI-generated images?

Find out by playing Fake Insects 🐞 a Game where you need to identify which insects are fake (AI generated). Good luck & share your best score in the comments!

victor/fake-insects
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victorΒ 
posted an update 5 months ago
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Hugging Face famous organisations activity. Guess which one has the word "Open" in it πŸ˜‚
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multimodalartΒ 
posted an update 5 months ago
victorΒ 
posted an update 6 months ago
victorΒ 
posted an update 6 months ago
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Together MoA is a really interesting approach based on open source models!

"We introduce Mixture of Agents (MoA), an approach to harness the collective strengths of multiple LLMs to improve state-of-the-art quality. And we provide a reference implementation, Together MoA, which leverages several open-source LLM agents to achieve a score of 65.1% on AlpacaEval 2.0, surpassing prior leader GPT-4o (57.5%)."

Read more here: https://www.together.ai/blog/together-moa

PS: they provide some demo code: (https://github.com/togethercomputer/MoA/blob/main/bot.py) - if someone release a Space for it it could go πŸš€
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victorΒ 
posted an update 7 months ago
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Congrats to @alvdansen for one of the nicest SD LoRA ever. It's so sharp and beautiful!
Check the model page to try it on your own prompts: alvdansen/BandW-Manga
And follow @alvdansen for more πŸ˜™
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victorΒ 
posted an update 7 months ago
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> We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024). (90.9% vs 90.2%).

@Bin12345 interested in a ZeroGPU Spaces for Bin12345/AutoCoder
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victorΒ 
posted an update 7 months ago
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✨ Tools are now available in HuggingChat (https://hf.co/chat)

In short, Tools allow HuggingChat to plug any ZeroGPU Space as a tool HuggingChat can use, offering limitless possibilities.

For the release we plugged 6 tools that you can use right now on command-R+, we plan to expand to more models.

We'll also allow you to add your own tools (any ZeroGPU space is compatible). For more info check out this discussion: huggingchat/chat-ui#470

Kudos to @nsarrazin @Saghen and @mishig for the release <3
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fffiloniΒ 
posted an update 7 months ago
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πŸ‡«πŸ‡·
Quel impact de l’IA sur les filiΓ¨res du cinΓ©ma, de l’audiovisuel et du jeu vidΓ©o?
Etude prospective Γ  destination des professionnels
β€” CNC & BearingPoint | 09/04/2024

Si l’Intelligence Artificielle (IA) est utilisΓ©e de longue date dans les secteurs du cinΓ©ma, de l’audiovisuel et du jeu vidΓ©o, les nouvelles applications de l’IA gΓ©nΓ©rative bousculent notre vision de ce dont est capable une machine et possΓ¨dent un potentiel de transformation inΓ©dit. Elles impressionnent par la qualitΓ© de leurs productions et suscitent par consΓ©quent de nombreux dΓ©bats, entre attentes et apprΓ©hensions.

Le CNC a donc dΓ©cider de lancer un nouvel Observatoire de l’IA Afin de mieux comprendre les usages de l’IA et ses impacts rΓ©els sur la filiΓ¨re de l’image. Dans le cadre de cet Observatoire, le CNC a souhaitΓ© dresser un premier Γ©tat des lieux Γ  travers la cartographie des usages actuels ou potentiels de l’IA Γ  chaque Γ©tape du processus de crΓ©ation et de diffusion d’une Ε“uvre, en identifiant les opportunitΓ©s et risques associΓ©s, notamment en termes de mΓ©tiers et d’emploi. Cette Γ©tude CNC / Bearing Point en a prΓ©sentΓ© les principaux enseignements le 6 mars, lors de la journΓ©e CNC Β« CrΓ©er, produire, diffuser Γ  l’heure de l’intelligence artificielle Β».

Le CNC publie la version augmentΓ©e de la cartographie des usages de l’IA dans les filiΓ¨res du cinΓ©ma, de l’audiovisuel et du jeu vidΓ©o.

Lien vers la cartographie complète: https://www.cnc.fr/documents/36995/2097582/Cartographie+des+usages+IA_rapport+complet.pdf/96532829-747e-b85e-c74b-af313072cab7?t=1712309387891
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radamesΒ 
posted an update 7 months ago
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Thanks to @OzzyGT for pushing the new Anyline preprocessor to https://github.com/huggingface/controlnet_aux. Now you can use the TheMistoAI/MistoLine ControlNet with Diffusers completely.

Here's a demo for you: radames/MistoLine-ControlNet-demo
Super resolution version: radames/Enhance-This-HiDiffusion-SDXL

from controlnet_aux import AnylineDetector

anyline = AnylineDetector.from_pretrained(
    "TheMistoAI/MistoLine", filename="MTEED.pth", subfolder="Anyline"
).to("cuda")

source = Image.open("source.png")
result = anyline(source, detect_resolution=1280)
radamesΒ 
posted an update 7 months ago
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At Google I/O 2024, we're collaborating with the Google Visual Blocks team (https://visualblocks.withgoogle.com) to release custom Hugging Face nodes. Visual Blocks for ML is a browser-based tool that allows users to create machine learning pipelines using a visual interface. We're launching nodes with Transformers.js, running models on the browser, as well as server-side nodes running Transformers pipeline tasks and LLMs using our hosted inference. With @Xenova @JasonMayes

You can learn more about it here https://huggingface.co/blog/radames/hugging-face-google-visual-blocks

Source-code for the custom nodes:
https://github.com/huggingface/visual-blocks-custom-components
radamesΒ 
posted an update 7 months ago
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AI-town now runs on Hugging Face Spaces with our API for LLMs and embeddings, including the open-source Convex backend, all in one container. Easy to duplicate and config on your own

Demo: radames/ai-town
Instructions: https://github.com/radames/ai-town-huggingface
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