Local AI with Docker's Testcontainers
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Joseph Pollack
Tonic
AI & ML interests
🤖Making robots to help people learn things quicker 👩🏻🚀🚀
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posted
an
update
10 days ago
Post
3117
🙋🏻♂️hey there folks,
periodic reminder : if you are experiencing ⚠️500 errors ⚠️ or ⚠️ abnormal
we have a thread 👉🏻 https://discord.com/channels/879548962464493619/1295847667515129877
if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps 🤗🤗🤗
periodic reminder : if you are experiencing ⚠️500 errors ⚠️ or ⚠️ abnormal
spaces behavior on load or launch ⚠️we have a thread 👉🏻 https://discord.com/channels/879548962464493619/1295847667515129877
if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps 🤗🤗🤗
- 2 replies
reacted to
davidberenstein1957's
post with 🚀🤗👀
10 days ago
Post
3039
Vector Search (most) datasets on the Hugging Face Hub 🔦
Powered by: Polars, DuckDB, Gradio and model2vec (lightning-fast embeddings by Stéphan Tulkens).
Should work fast enough for datasets up to 100K.
davidberenstein1957/vectorsearch-hub-datasets
Powered by: Polars, DuckDB, Gradio and model2vec (lightning-fast embeddings by Stéphan Tulkens).
Should work fast enough for datasets up to 100K.
davidberenstein1957/vectorsearch-hub-datasets
reacted to
prithivMLmods's
post with 👀❤️
10 days ago
Post
5494
New Style, New Mix, New Drop 🧤
🧨Flux LoRA DLC: prithivMLmods/FLUX-LoRA-DLC
🎆Glowing-Body: prithivMLmods/Glowing-Body-Flux-LoRA
🎆Electric-Blue: prithivMLmods/Electric-Blue-Flux-LoRA
🎆Intense-Red: prithivMLmods/Intense-Red-Flux-LoRA
🎆Clouds-Illusion: prithivMLmods/Clouds-Illusion-Flux-LoRA
🎆Digital-Yellow: prithivMLmods/Digital-Yellow-Flux-LoRA
🧨Flux LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods
🧨Flux LoRA DLC: prithivMLmods/FLUX-LoRA-DLC
🎆Glowing-Body: prithivMLmods/Glowing-Body-Flux-LoRA
🎆Electric-Blue: prithivMLmods/Electric-Blue-Flux-LoRA
🎆Intense-Red: prithivMLmods/Intense-Red-Flux-LoRA
🎆Clouds-Illusion: prithivMLmods/Clouds-Illusion-Flux-LoRA
🎆Digital-Yellow: prithivMLmods/Digital-Yellow-Flux-LoRA
🧨Flux LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods
reacted to
m-ric's
post with 😎❤️🚀🧠
10 days ago
Post
2294
> Oasis: First Real-Time Video Game Without a Game Engine! 🎮
DecartAI & Etched just released Oasis - a fully AI-generated video game running at 20 FPS (frames per second). The model takes keyboard inputs and generates everything - physics, rules, graphics - on the fly, without any game engine.
⚡️ What makes this special? Current text-to-video models (Mochi-1, Sora, Kling) generate about 1 frame every 10-20 seconds (that's the kind of device I had to play LoL back in the day, thus my low rankings). Oasis is 200 times faster, making it the first playable AI-generated game.
⚙️ Under the hood, it uses a vision transformer to encode space and a diffusion model to generate frames. The secret sauce is "dynamic noising" - a technique that keeps the video stable between frames.
Key insights:
⚡️ Generates 20 FPS, vs 0.2 FPS for other DIT-based video models
‣ The specialized hardware Sohu developed by Etched allows to handle 10x more player than H100
🎮 Features real game mechanics
‣ Movement, jumping, item management
‣ Physics and lighting
‣ Procedurally generated worlds
⚠️ Current limitations
‣ Blurry graphics at a distance
‣ Objects sometimes change appearance
‣ Memory issues in long sessions
Try it yourself, the playable demo is impressive! 👉 https://oasis.decart.ai/welcome
Code 👉 https://github.com/etched-ai/open-oasis
Read it in full 👉 https://oasis-model.github.io/
DecartAI & Etched just released Oasis - a fully AI-generated video game running at 20 FPS (frames per second). The model takes keyboard inputs and generates everything - physics, rules, graphics - on the fly, without any game engine.
⚡️ What makes this special? Current text-to-video models (Mochi-1, Sora, Kling) generate about 1 frame every 10-20 seconds (that's the kind of device I had to play LoL back in the day, thus my low rankings). Oasis is 200 times faster, making it the first playable AI-generated game.
⚙️ Under the hood, it uses a vision transformer to encode space and a diffusion model to generate frames. The secret sauce is "dynamic noising" - a technique that keeps the video stable between frames.
Key insights:
⚡️ Generates 20 FPS, vs 0.2 FPS for other DIT-based video models
‣ The specialized hardware Sohu developed by Etched allows to handle 10x more player than H100
🎮 Features real game mechanics
‣ Movement, jumping, item management
‣ Physics and lighting
‣ Procedurally generated worlds
⚠️ Current limitations
‣ Blurry graphics at a distance
‣ Objects sometimes change appearance
‣ Memory issues in long sessions
Try it yourself, the playable demo is impressive! 👉 https://oasis.decart.ai/welcome
Code 👉 https://github.com/etched-ai/open-oasis
Read it in full 👉 https://oasis-model.github.io/
reacted to
davanstrien's
post with 🚀❤️
14 days ago
Post
2411
Excited to see my weird
davanstrien/ufo-ColPali dataset featured in a video by
@sabrinaesaquino
!
The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸
Video: https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz
Blog post: https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html
The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸
Video: https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz
Blog post: https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html
- 2 replies
replied to
Empereur-Pirate's
post
18 days ago
the claim with no primary source or access that a chat bot killed a child is a cop out for the parents that have neglected this kid of years and completely ignored him months + leaving loaded weapons around their house. they should be held responsible and wierdos trying to capitalize on such tragedies on their blogs should be called out for low quality bait. "empereur pirate" more like "leure souple" - mdr
replied to
nroggendorff's
post
18 days ago
here for the content 🏆🏆🏆
posted
an
update
18 days ago
Post
872
boomers still pick zenodo.org instead of huggingface ??? absolutely clownish nonsense , my random datasets have 30x more downloads and views than front page zenodos ... gonna write a comparison blog , but yeah... cringe.
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- 1 reply
reacted to
ariG23498's
post with 👍
19 days ago
Post
1459
Cohere drops two new multilingual models!
CohereForAI/aya-expanse-8b
CohereForAI/aya-expanse-32b
Try them out here
CohereForAI/aya_expanse
CohereForAI/aya-expanse-8b
CohereForAI/aya-expanse-32b
Try them out here
CohereForAI/aya_expanse
reacted to
fdaudens's
post with ❤️
19 days ago
Post
2752
🤯 Plot twist: Size isn't everything in AI! A lean 32B parameter model just showed up to the party and outperformed a 70B one. Efficiency > Scale? The AI world just got more interesting...
Cohere For AI released Aya Expanse, a new family of multilingual models (8B and 32B) spanning 23 popular languages.
Models: CohereForAI/c4ai-aya-expanse-671a83d6b2c07c692beab3c3
Blog post: https://huggingface.co/blog/aya-expanse
Demo: CohereForAI/aya_expanse
Cohere For AI released Aya Expanse, a new family of multilingual models (8B and 32B) spanning 23 popular languages.
Models: CohereForAI/c4ai-aya-expanse-671a83d6b2c07c692beab3c3
Blog post: https://huggingface.co/blog/aya-expanse
Demo: CohereForAI/aya_expanse
posted
an
update
19 days ago
Post
805
🙋🏻♂️ hey there folks ,
really enjoying sharing cool genomics and protein datasets on the hub these days , check out our cool new org : https://huggingface.co/seq-to-pheno
scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !
really enjoying sharing cool genomics and protein datasets on the hub these days , check out our cool new org : https://huggingface.co/seq-to-pheno
scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !
replied to
their
post
23 days ago
https://huggingface.co/spaces/mrfakename/Moonshine another one with a 500 error for me