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Csplk

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liked a Space about 20 hours ago
fancyfeast/260kxqt2-1199872-llava
liked a Space 3 days ago
OpenSound/SoloSpeech
liked a Space 3 days ago
fastrtc/qwen-phone-chat
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Csplk's activity

reacted to clem's post with ๐Ÿค— 11 days ago
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3221
It's just become easier to share your apps on the biggest AI app store (aka HF spaces) for unlimited storage, more visibility and community interactions.

Just pick a React, Svelte, or Vue template when you create your space or add app_build_command: npm run build in your README's YAML and app_file: build/index.html in your README's YAML block.

Or follow this link: https://huggingface.co/new-space?sdk=static

Let's build!
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replied to Yehor's post about 2 months ago
reacted to Yehor's post with ๐Ÿ”ฅ๐Ÿ”ฅ about 2 months ago
reacted to danielhanchen's post with โค๏ธ about 2 months ago
reacted to MikeDoes's post with ๐Ÿ˜Ž 3 months ago
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2710
๐Ÿš€ Ai4Privacy Team is excited to unveil PII-Masking-1M, our most significant release yet! ๐ŸŽ‰

This publication series ๐Ÿ“ฆ includes datasets ๐Ÿ“Š, models ๐Ÿค–, and applications โš™๏ธ to advance PII masking with AI systems ๐Ÿ›ก๏ธ

Starting on Monday with daily posts at 7 PM CET โฐ
reacted to thomwolf's post with โค๏ธ 3 months ago
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2928
We've kept pushing our Open-R1 project, an open initiative to replicate and extend the techniques behind DeepSeek-R1.

And even we were mind-blown by the results we got with this latest model we're releasing: โšก๏ธOlympicCoder ( open-r1/OlympicCoder-7B and open-r1/OlympicCoder-32B)

It's beating Claude 3.7 on (competitive) programming โ€“a domain Anthropic has been historically really strong atโ€“ and it's getting close to o1-mini/R1 on olympiad level coding with just 7B parameters!

And the best part is that we're open-sourcing all about its training dataset, the new IOI benchmark, and more in our Open-R1 progress report #3: https://huggingface.co/blog/open-r1/update-3

Datasets are are releasing:
- open-r1/codeforces
- open-r1/codeforces-cots
- open-r1/ioi
- open-r1/ioi-test-cases
- open-r1/ioi-sample-solutions
- open-r1/ioi-cots
- open-r1/ioi-2024-model-solutions
reacted to prithivMLmods's post with ๐Ÿ”ฅ 3 months ago
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5905
Dropping some of the custom fine-tunes based on SigLIP2,
with a single/multi label classification problem type! ๐ŸŒ€๐Ÿงค

- AI vs Deepfake vs Real : prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2
- Deepfake Detect : prithivMLmods/Deepfake-Detect-Siglip2
- Fire Detection : prithivMLmods/Fire-Detection-Siglip2
- Deepfake Quality Assess : prithivMLmods/Deepfake-Quality-Assess-Siglip2
- Guard Against Unsafe Content : prithivMLmods/Guard-Against-Unsafe-Content-Siglip2

๐ŸŒ Collection : prithivMLmods/siglip2-custom-67bcdb2de8fe96b99fb4e19e
reacted to davidberenstein1957's post with โค๏ธ 4 months ago
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3316
๐Ÿš€ Find banger tools for your smolagents!

I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools

Space: davidberenstein1957/smolagents-and-tools
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reacted to hlarcher's post with ๐Ÿ”ฅ 5 months ago
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1130
We are introducing multi-backend support in Hugging Face Text Generation Inference!
With new TGI architecture we are now able to plug new modeling backends to get best performances according to selected model and available hardware. This first step will very soon be followed by the integration of new backends (TRT-LLM, llama.cpp, vLLM, Neuron and TPU).

We are polishing the TensorRT-LLM backend which achieves impressive performances on NVIDIA GPUs, stay tuned ๐Ÿค— !

Check out the details: https://huggingface.co/blog/tgi-multi-backend
reacted to CultriX's post with โค๏ธ 5 months ago
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2136
# Space for Multi-Agent Workflows using AutoGen

Hi all, I created this "AutoGen Multi-Agent Workflow" space that allows you to experiment with multi-agent workflows.

By default, it allows code generation with built-in quality control and automatic documentation generation. It achieves this by leveraging multiple AI agents working together to produce high-quality code snippets, ensuring they meet the specified requirements.

In addition to the default, the space allows users to set custom system messages for each assistant, potentially completely changing the workflow.

# Workflow Steps
1. User Input:
- The user defines a prompt, such as "Write a random password generator using python."
- Outcome: A clear task for the primary assistant to accomplish.

2. Primary Assistant Work:
- The primary assistant begins working on the provided prompt.
It generates an initial code snippet based on the user's request.
- Outcome: An initial proposal for the requested code.

3. Critic Feedback:
- The critic reviews the generated code provides feedback or (if the output meets the criteria), broadcasts the APPROVED message.
(This process repeats until the output is APPROVED or 10 messages have been exchanged).
- Outcome: A revised Python function that incorporates the critic's feedback.

4. Documentation Generation:
- Once the code is approved, it is passed to a documentation assistant.
The documentation assistant generates a concise documentation for the final code.
- Outcome: A short documentation including function description, parameters, and return values.

Enjoy!
CultriX/AutoGen-MultiAgent-Example
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replied to singhsidhukuldeep's post 5 months ago
reacted to cfahlgren1's post with ๐Ÿ”ฅ 5 months ago
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1776
Wow, I just added Langfuse tracing to the Deepseek Artifacts app and it's really nice ๐Ÿ”ฅ

It allows me to visualize and track more things along with the cfahlgren1/react-code-instructions dataset.

It was just added as a one click Docker Space template, so it's super easy to self host ๐Ÿ’ช
reacted to davidberenstein1957's post with โค๏ธ 6 months ago
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4254
Introducing the Synthetic Data Generator, a user-friendly application that takes a no-code approach to creating custom datasets with Large Language Models (LLMs). The best part: A simple step-by-step process, making dataset creation a non-technical breeze, allowing anyone to create datasets and models in minutes and without any code.

Blog: https://huggingface.co/blog/synthetic-data-generator
Space: https://huggingface.co/spaces/argilla/synthetic-data-generator
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reacted to alielfilali01's post with โค๏ธ 6 months ago
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3538
Unpopular opinion: Open Source takes courage to do !

Not everyone is brave enough to release what they have done (the way they've done it) to the wild to be judged !
It really requires a high level of "knowing wth are you doing" ! It's kind of a super power !

Cheers to the heroes here who see this!
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reacted to dylanebert's post with ๐Ÿ”ฅ 6 months ago
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1730
Generate meshes with AI locally in Blender

๐Ÿ“ข New open-source release

meshgen, a local blender integration of LLaMa-Mesh, is open source and available now ๐Ÿค—

get started here: https://github.com/huggingface/meshgen
reacted to prithivMLmods's post with ๐Ÿ‘ 7 months ago
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2949
Weekend Dribble ๐Ÿ“ฆ๐Ÿบ

Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!

๐ŸคDemo on: prithivMLmods/FLUX-LoRA-DLC

Stranger Zones :
๐Ÿ‘‰๐Ÿผ{ Super Blend } : strangerzonehf/Flux-Super-Blend-LoRA

๐Ÿ‘‰๐Ÿผ{ Product Concept Ad } : prithivMLmods/Flux-Product-Ad-Backdrop
๐Ÿ‘‰๐Ÿผ{ Frosted Mock-ups } : prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
๐Ÿ‘‰๐Ÿผ{ Polaroid Plus } : prithivMLmods/Flux-Polaroid-Plus
๐Ÿ‘‰๐Ÿผ{Sketch Cards} : prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA

๐Ÿ‘‰Stranger Zone: strangerzonehf

๐Ÿ‘‰Flux LoRA Collections: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

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@prithivMLmods ๐Ÿค—
reacted to csabakecskemeti's post with ๐Ÿ‘ 7 months ago
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1257
Some time ago, I built a predictive LLM router that routes chat requests between small and large LLM models based on prompt classification. It dynamically selects the most suitable model depending on the complexity of the user input, ensuring optimal performance while maintaining conversation context. I also fine-tuned a RoBERTa model to use with the package, but you can plug and play any classifier of your choice.

Project's homepage:
https://devquasar.com/llm-predictive-router/
Pypi:
https://pypi.org/project/llm-predictive-router/
Model:
DevQuasar/roberta-prompt_classifier-v0.1
Training data:
DevQuasar/llm_router_dataset-synth
Git:
https://github.com/csabakecskemeti/llm_predictive_router_package

Feel free to check it out, and/or contribute.
replied to prithivMLmods's post 7 months ago
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You really have been bringing the goodies lately (formerly too!) thanks !

reacted to prithivMLmods's post with โค๏ธ 7 months ago
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3974
Minimalistic Adapters ๐ŸŽƒ

๐Ÿš€Demo Here:
prithivMLmods/FLUX-LoRA-DLC

๐Ÿš€Model:
{ Quote Tuner } : prithivMLmods/Flux.1-Dev-Quote-LoRA
{ Stamp Art } : prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA
{ Hand Sticky } : prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA
{ Poster HQ } : prithivMLmods/Flux.1-Dev-Poster-HQ-LoRA
{ Ctoon Min } : prithivMLmods/Flux.1-Dev-Ctoon-LoRA

๐Ÿš€Collection:
{ Flux LoRA Collection} : prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
{ LoRA Space Collection } : prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32

๐Ÿš€For More Visit
strangerzonehf
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๐Ÿค—@prithivMLmods
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