Hugging Face's logo

Blog-explorers
Activity Feed Request to join this org

AI & ML interests

None defined yet.

Recent Activity

Ihor  authored a paper 1 day ago
GLiClass: Generalist Lightweight Model for Sequence Classification Tasks
Tonic  new activity 2 days ago
blog-explorers/README:[Support] Community Articles
DandinPower  authored a paper 8 days ago
MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning
View all activity

Tonic 
in blog-explorers/README 2 days ago

[Support] Community Articles

🚀 🤝 1
86
#5 opened over 1 year ago by
victor
alielfilali01 
posted an update 9 days ago
ariG23498 
posted an update 24 days ago
burtenshaw 
posted an update about 1 month ago
view post
Post
971
Kimi-K2 is ready for general use! In these notebooks I walk you through use cases like function calling and structured outputs.

🔗 burtenshaw/Kimi-K2-notebooks

You can swap it into any OpenAI compatible application via Inference Providers and get to work with an open source model.
  • 1 reply
·
Bils 
posted an update about 1 month ago
view post
Post
323
I wanted to share a project I’ve been working on: a fully autonomous content creation pipeline that generates and publishes ASMR YouTube Shorts. I've turned it into a workflow template that others can use, and I thought this community would appreciate the technical orchestration behind it.
This project demonstrates how to chain multiple specialized AI models together—moving beyond simple text generation to create complete, multi-modal video content.
https://n8n.partnerlinks.io/bilsimaging
#ASMR #SatisfyingVideos #AIworkflow #ContentAutomation
#n8nCommunity #YouTubeShorts #AItools #Tech
manu 
authored a paper about 1 month ago
DrMostafa 
authored a paper about 1 month ago
burtenshaw 
posted an update about 1 month ago
view post
Post
2863
Inference for generative ai models looks like a mine field, but there’s a simple protocol for picking the best inference:

🌍 95% of users >> If you’re using open (large) models and need fast online inference, then use Inference providers on auto mode, and let it choose the best provider for the model. https://huggingface.co/docs/inference-providers/index

👷 fine-tuners/ bespoke >> If you’ve got custom setups, use Inference Endpoints to define a configuration from AWS, Azure, GCP. https://endpoints.huggingface.co/

🦫 Locals >> If you’re trying to stretch everything you can out of a server or local machine, use Llama.cpp, Jan, LMStudio or vLLM. https://huggingface.co/settings/local-apps#local-apps

🪟 Browsers >> If you need open models running right here in the browser, use transformers.js. https://github.com/huggingface/transformers.js

Let me know what you’re using, and if you think it’s more complex than this.
Nymbo 
posted an update about 1 month ago
view post
Post
2580
Anyone know how to reset Claude web's MCP config? I connected mine when the HF MCP first released with just the default example spaces added. I added lots of other MCP spaces but Claude.ai doesn't update the available tools... "Disconnecting" the HF integration does nothing, deleting it and adding it again does nothing.

Refreshing tools works fine in VS Code because I can manually restart it in mcp.json, but claude.ai has no such option. Anyone got any ideas?
·
burtenshaw 
posted an update about 2 months ago
view post
Post
990
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.

llama-server -hf unsloth/Devstral-Small-2505-GGUF:Q4_K_M

3. 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
          - edit


4. 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)
  • 1 reply
·
reach-vb 
posted an update 2 months ago
view post
Post
3961
Excited to onboard FeatherlessAI on Hugging Face as an Inference Provider - they bring a fleet of 6,700+ LLMs on-demand on the Hugging Face Hub 🤯

Starting today, you'd be able to access all those LLMs (OpenAI compatible) on HF model pages and via OpenAI client libraries too! 💥

Go, play with it today: https://huggingface.co/blog/inference-providers-featherless

P.S. They're also bringing on more GPUs to support all your concurrent requests!
  • 1 reply
·
burtenshaw 
posted an update 2 months ago
view post
Post
1659
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.
julien-c 
in blog-explorers/README 2 months ago

Preview dark/light toggle

2
#9 opened 4 months ago by
Aurelien-Morgan
burtenshaw 
posted an update 2 months ago
view post
Post
1543
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!
  • 1 reply
·
Aurelien-Morgan 
in blog-explorers/README 2 months ago

Preview dark/light toggle

2
#9 opened 4 months ago by
Aurelien-Morgan
mayank-mishra 
authored 2 papers 2 months ago
ariG23498 
posted an update 2 months ago
view post
Post
1699
🚨 Implement KV Cache from scratch in pure PyTorch. 🚨

We have documented all of our learning while implementing KV Cache to nanoVLM. Joint work with @kashif @lusxvr @andito @pcuenq

Blog: hf.co/blog/kv-cache
  • 1 reply
·
manu 
authored a paper 2 months ago
alielfilali01 
authored a paper 3 months ago