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davanstrien
updated
a
dataset
about 4 hours ago
Post
70
🤗 Here’s a fun educational video I made to show how Sheets and AI can upgrade your structured content.
Better tables and clearer messages with just a little help from open-source AI!
aisheets/sheets
Better tables and clearer messages with just a little help from open-source AI!
aisheets/sheets
frascuchon
posted
an
update
1 day ago
Post
531
Extended Dataset with Sheets 🚀
I used Sheets to extend the fka/awesome-chatgpt-prompts dataset with a single prompt 💡. Check out the result: frascuchon/extended_fka_awesome_chatgpt_prompts
Try Sheets to expand your datasets: aisheets/sheets 🛠️
I used Sheets to extend the fka/awesome-chatgpt-prompts dataset with a single prompt 💡. Check out the result: frascuchon/extended_fka_awesome_chatgpt_prompts
Try Sheets to expand your datasets: aisheets/sheets 🛠️
davanstrien
updated
a
dataset
6 days ago
frascuchon
posted
an
update
7 days ago
Post
743
🚀 Are you ready to take control of your data? 📊 Follow the step-by-step guide to setup and run Sheets locally on your own machine 🖥️!
💻 Click the link to get started and become a Sheets master 🎯!
👉 https://huggingface.co/blog/frascuchon/running-sheets-locally
Try Sheet 👉
aisheets
💻 Click the link to get started and become a Sheets master 🎯!
👉 https://huggingface.co/blog/frascuchon/running-sheets-locally
Try Sheet 👉
aisheets
frascuchon
posted
an
update
9 days ago
Post
2786
Extending datasets just got a whole lot easier! 🚀 With Sheets, I was able to create a Spanish version of the popular fka/awesome-chatgpt-prompts dataset in just a few minutes ⏱️.
Check out the resulting dataset: frascuchon/fka_awesome_chatgpt_es 📊
Want to try it out for yourself? Head over to the Sheets space and see how easy it is to extend and modify existing datasets 🤯. The possibilities are endless! 🌐
Check out the resulting dataset: frascuchon/fka_awesome_chatgpt_es 📊
Want to try it out for yourself? Head over to the Sheets space and see how easy it is to extend and modify existing datasets 🤯. The possibilities are endless! 🌐
burtenshaw
posted
an
update
10 days ago
Post
739
You don't need remote APIs for a coding copliot, or the MCP Course! Set up a fully local IDE with MCP integration using Continue. In this tutorial Continue guides you through setting it up.
This is what you need to do to take control of your copilot:
1. Get the Continue extension from the [VS Code marketplace](https://marketplace.visualstudio.com/items?itemName=Continue.continue) to serve as the AI coding assistant.
2. Serve the model with an OpenAI compatible server in Llama.cpp / LmStudio/ etc.
3. Create a
4. Create a
Check out the full tutorial in the [the MCP course](https://huggingface.co/learn/mcp-course/unit2/continue-client)
This is what you need to do to take control of your copilot:
1. Get the Continue extension from the [VS Code marketplace](https://marketplace.visualstudio.com/items?itemName=Continue.continue) to serve as the AI coding assistant.
2. Serve the model with an OpenAI compatible server in Llama.cpp / LmStudio/ etc.
llama-server -hf unsloth/Devstral-Small-2505-GGUF:Q4_K_M3. Create a
.continue/models/llama-max.yaml file in your project to tell Continue how to use the local Ollama model.name: Llama.cpp model
version: 0.0.1
schema: v1
models:
- provider: llama.cpp
model: unsloth/Devstral-Small-2505-GGUF
apiBase: http://localhost:8080
defaultCompletionOptions:
contextLength: 8192
# Adjust based on the model
name: Llama.cpp Devstral-Small
roles:
- chat
- edit4. Create a
.continue/mcpServers/playwright-mcp.yaml file to integrate a tool, like the Playwright browser automation tool, with your assistant.name: Playwright mcpServer
version: 0.0.1
schema: v1
mcpServers:
- name: Browser search
command: npx
args:
- "@playwright/mcp@latest"Check out the full tutorial in the [the MCP course](https://huggingface.co/learn/mcp-course/unit2/continue-client)
burtenshaw
posted
an
update
14 days ago
Post
1553
Brand new MCP Course has units are out, and now it's getting REAL! We've collaborated with Anthropic to dive deep into production ready and autonomous agents using MCP
🔗
mcp-course
This is what the new material covers and includes:
- Use Claude Code to build an autonomous PR agent
- Integrate your agent with Slack and Github to integrate it with you Team
- Get certified on your use case and share with the community
- Build an autonomous PR cleanup agent on the Hugging Face hub and deploy it with spaces
The material goes deep into these problems and helps you to build applications that work. We’re super excited to see what you build with it.
🔗
mcp-course
This is what the new material covers and includes:
- Use Claude Code to build an autonomous PR agent
- Integrate your agent with Slack and Github to integrate it with you Team
- Get certified on your use case and share with the community
- Build an autonomous PR cleanup agent on the Hugging Face hub and deploy it with spaces
The material goes deep into these problems and helps you to build applications that work. We’re super excited to see what you build with it.
burtenshaw
posted
an
update
15 days ago
Post
1441
Super excited to release Autotrain MCP. This is an MCP server for training AI models, so you can use your AI tools to train your AI models 🤯.
🔗 burtenshaw/autotrain-mcp
Use this MCP server with tools like Claude Desktop, Cursor, VSCode, or Continue to do this:
- Define an ML problem like Image Classification, LLM fine-tuning, Text Classification, etc.
- The AI can retrieve models and datasets from the hub using the hub MCP.
- Training happens on a Hugging Face space, so no worries about hardware restraints.
- Models are pushed to the hub to be used inference tools like Llama.cpp, vLLM, MLX, etc.
- Built on top of the AutoTrain library, so it has full integration with transformers and other libraries.
Everything is still under active development, but I’m super excited to hear what people build, and I’m open to contributions!
🔗 burtenshaw/autotrain-mcp
Use this MCP server with tools like Claude Desktop, Cursor, VSCode, or Continue to do this:
- Define an ML problem like Image Classification, LLM fine-tuning, Text Classification, etc.
- The AI can retrieve models and datasets from the hub using the hub MCP.
- Training happens on a Hugging Face space, so no worries about hardware restraints.
- Models are pushed to the hub to be used inference tools like Llama.cpp, vLLM, MLX, etc.
- Built on top of the AutoTrain library, so it has full integration with transformers and other libraries.
Everything is still under active development, but I’m super excited to hear what people build, and I’m open to contributions!
- 1 reply
frascuchon
posted
an
update
16 days ago
Post
1306
Unlock the full potential of your datasets with SHEETS! It's incredibly easy to extend existing datasets and unlock new insights.
Leverage open-source models to translate, summarize, classify, and more - all directly within your existing columns.
Ready to give it a try? Explore the possibilities here: aisheets/sheets
Leverage open-source models to translate, summarize, classify, and more - all directly within your existing columns.
Ready to give it a try? Explore the possibilities here: aisheets/sheets
-
- 2 replies
Post
1746
With Sheets, try a new way to create structured content with the help of AI!
No installs. No login. Just open a link and 🤩
This app lets you create a dataset by importing a file or starting from a prompt.
What’s different about SHEETS?
🔎 Web search integration to ground answers in real-world data
📚 In-context learning from validated sources
🔗 Transparent sourcing — every result is linked
🧩 Runs on multiple open-source models
Fight hallucinations and start creating content you can rely on.
No installs. No login. Just open a link and 🤩
This app lets you create a dataset by importing a file or starting from a prompt.
What’s different about SHEETS?
🔎 Web search integration to ground answers in real-world data
📚 In-context learning from validated sources
🔗 Transparent sourcing — every result is linked
🧩 Runs on multiple open-source models
Fight hallucinations and start creating content you can rely on.
dvilasuero
posted
an
update
16 days ago
Post
2550
Super excited to launch Hugging Face Sheets: Spreadsheets meet AI and unstructured data.
A few months ago, we started imagining new ways to build and transform datasets with the latest open-source models.
Today, I'm thrilled to introduce our first step in this direction.
In a nutshell:
📁 Effortlessly run prompts and models over your data.
🌐 Agentic search for accuracy and real-time information.
🖼️ Familiar, minimalistic interface for interacting with data.
🎯 Human feedback 2.0: Your input directly improves generated data.
💯 Access hundreds of open models and leading inference providers.
Go to this space to try it out!
aisheets/sheets
Leave your questions below, we're just getting started!
A few months ago, we started imagining new ways to build and transform datasets with the latest open-source models.
Today, I'm thrilled to introduce our first step in this direction.
In a nutshell:
📁 Effortlessly run prompts and models over your data.
🌐 Agentic search for accuracy and real-time information.
🖼️ Familiar, minimalistic interface for interacting with data.
🎯 Human feedback 2.0: Your input directly improves generated data.
💯 Access hundreds of open models and leading inference providers.
Go to this space to try it out!
aisheets/sheets
Leave your questions below, we're just getting started!
-
- 2 replies
davanstrien
posted
an
update
17 days ago
Post
2802
Inspired by Hugging Face's official MCP server, I've developed a complementary tool that exposes my semantic search API to enhance discovery across the HF platform.
Key capabilities:
- AI-powered semantic search for models and datasets
- Parameter count analysis via safetensors metadata
- Trending content discovery
- Find similar models/datasets functionality
- 11 tools total for enhanced ecosystem navigation
The semantic search goes beyond simple keyword matching, understanding context and relationships between different models and datasets.
Example query: "Find around 10 reasoning Hugging Face datasets published in 2025 focusing on topics other than maths and science. Show a link and a short summary for each dataset." (results in video!)
https://github.com/davanstrien/hub-semantic-search-mcp
Key capabilities:
- AI-powered semantic search for models and datasets
- Parameter count analysis via safetensors metadata
- Trending content discovery
- Find similar models/datasets functionality
- 11 tools total for enhanced ecosystem navigation
The semantic search goes beyond simple keyword matching, understanding context and relationships between different models and datasets.
Example query: "Find around 10 reasoning Hugging Face datasets published in 2025 focusing on topics other than maths and science. Show a link and a short summary for each dataset." (results in video!)
https://github.com/davanstrien/hub-semantic-search-mcp
guipenedo
authored
a
paper
19 days ago
frascuchon
posted
an
update
24 days ago
Post
2989
Hey! I built RAG MCP Server Space, a simple Gradio MCP server for RAG systems that allows you to search relevant results without passing huge contexts to your LLM.
You can use this space to integrate with your agents and improve the efficiency of your search results. Feel free to try it out and let me know if you have any feedback or questions!
frascuchon/rag-mcp-server
Thanks for checking it out!
You can use this space to integrate with your agents and improve the efficiency of your search results. Feel free to try it out and let me know if you have any feedback or questions!
frascuchon/rag-mcp-server
Thanks for checking it out!
burtenshaw
posted
an
update
about 1 month ago
Post
2607
MCP course is now LIVE! We just dropped quizzes, videos, and live streams to make it a fully interactive course:
🔗 join in now:
mcp-course
- It’s still free!
- Video 1 walks you through onboarding to the course
- The first live session is next week!
- You can now get a certificate via exam app
- We improved and written material with interactive quizzes
If you’re studying MCP and want a live, interactive, visual, certified course, then join us on the hub!
🔗 join in now:
mcp-course
- It’s still free!
- Video 1 walks you through onboarding to the course
- The first live session is next week!
- You can now get a certificate via exam app
- We improved and written material with interactive quizzes
If you’re studying MCP and want a live, interactive, visual, certified course, then join us on the hub!
burtenshaw
posted
an
update
about 1 month ago
Post
3213
We're thrilled to announce the launch of our comprehensive Model Context Protocol (MCP) Course! This free program is designed to take learners from foundational understanding to practical application of MCP in AI.
Follow the course on the hub:
mcp-course
In this course, you will:
📖 Study Model Context Protocol in theory, design, and practice.
🧑💻 Learn to use established MCP SDKs and frameworks.
💾 Share your projects and explore applications created by the community.
🏆 Participate in challenges and evaluate your MCP implementations.
🎓 Earn a certificate of completion.
At the end of this course, you'll understand how MCP works and how to build your own AI applications that leverage external data and tools using the latest MCP standards.
Follow the course on the hub:
mcp-course
In this course, you will:
📖 Study Model Context Protocol in theory, design, and practice.
🧑💻 Learn to use established MCP SDKs and frameworks.
💾 Share your projects and explore applications created by the community.
🏆 Participate in challenges and evaluate your MCP implementations.
🎓 Earn a certificate of completion.
At the end of this course, you'll understand how MCP works and how to build your own AI applications that leverage external data and tools using the latest MCP standards.
- 1 reply
burtenshaw
posted
an
update
about 2 months ago
Post
2297
Qwen 3 Fine tuning >> MoE. Update the experiment thread to include config and script for fine-tuning the Qwen3-30B-A3B model.
The goal is to make a low latency non-thinking model for a daily driver coding, so 3 billion parameters active should be perfect.
✔️ training running
✔️ evals running
⏭️ improve dataset
The moe isn't going to fit into colab's A100 even with quantization (🙏 @UnslothAI ). So I've been working on HF spaces' H100s for this. Everything is available in the tread and I'll share more tomorrow.
burtenshaw/Qwen3-Code-Lite#1
The goal is to make a low latency non-thinking model for a daily driver coding, so 3 billion parameters active should be perfect.
✔️ training running
✔️ evals running
⏭️ improve dataset
The moe isn't going to fit into colab's A100 even with quantization (🙏 @UnslothAI ). So I've been working on HF spaces' H100s for this. Everything is available in the tread and I'll share more tomorrow.
burtenshaw/Qwen3-Code-Lite#1
burtenshaw
posted
an
update
2 months ago
Post
2641
The rebooted LLM course starts today with an overhauled chapter 1 on Transformers:
👉 Follow the org to join the course:
huggingface-course
We’re starting from the foundations of modern generative AI by looking at transformers. This chapter is expanded in depth and features so contains new material like:
FREE and CERTIFIED exam on fundamentals of transformers
deeper exploration of transformer architectures and attention mechanisms
end -to-end exploration of inference strategies for prefill and decode steps
The course has leveled up in complexity and depth, so this a great time to join in if you want to build you own AI models.
👉 Follow the org to join the course:
huggingface-course
We’re starting from the foundations of modern generative AI by looking at transformers. This chapter is expanded in depth and features so contains new material like:
FREE and CERTIFIED exam on fundamentals of transformers
deeper exploration of transformer architectures and attention mechanisms
end -to-end exploration of inference strategies for prefill and decode steps
The course has leveled up in complexity and depth, so this a great time to join in if you want to build you own AI models.
davanstrien
posted
an
update
2 months ago
Post
2255
Came across a very nice submission from
@marcodsn
for the reasoning datasets competition (https://huggingface.co/blog/bespokelabs/reasoning-datasets-competition).
The dataset distils reasoning chains from arXiv research papers in biology and economics. Some nice features of the dataset:
- Extracts both the logical structure AND researcher intuition from academic papers
- Adopts the persona of researchers "before experiments" to capture exploratory thinking
- Provides multi-short and single-long reasoning formats with token budgets - Shows 7.2% improvement on MMLU-Pro Economics when fine-tuning a 3B model
It's created using the Curator framework with plans to scale across more scientific domains and incorporate multi-modal reasoning with charts and mathematics.
I personally am very excited about datasets like this, which involve creativity in their creation and don't just rely on $$$ to produce a big dataset with little novelty.
Dataset can be found here: marcodsn/academic-chains (give it a like!)
The dataset distils reasoning chains from arXiv research papers in biology and economics. Some nice features of the dataset:
- Extracts both the logical structure AND researcher intuition from academic papers
- Adopts the persona of researchers "before experiments" to capture exploratory thinking
- Provides multi-short and single-long reasoning formats with token budgets - Shows 7.2% improvement on MMLU-Pro Economics when fine-tuning a 3B model
It's created using the Curator framework with plans to scale across more scientific domains and incorporate multi-modal reasoning with charts and mathematics.
I personally am very excited about datasets like this, which involve creativity in their creation and don't just rely on $$$ to produce a big dataset with little novelty.
Dataset can be found here: marcodsn/academic-chains (give it a like!)