正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Create datasets, run evals, and even train models directly in Cursor with the Hugging Face plugin. Here's Ben Burtenshaw to show you how:

edwin

26,963 subscribers

17,119 次观看 • 3 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Welcome to the party Hugging Face 🤗 Access the Hugging Face Hub directly from Gemini CLI with this new Gemini CLI extension. 🔍 - Search models, datasets and papers 📈 - Find trending models or datasets 🤗 - Learn how to fine-tune models and more! Big thanks to Shaun Smith and Vaibhav (VB) Srivastav for making this happen!

Welcome to the party Hugging Face 🤗 Access the Hugging Face Hub directly from Gemini CLI with this new Gemini CLI extension. 🔍 - Search models, datasets and papers 📈 - Find trending models or datasets 🤗 - Learn how to fine-tune models and more! Big thanks to Shaun Smith and Vaibhav (VB) Srivastav for making this happen!

Jack Wotherspoon

14,487 次观看 • 7 个月前

Awesome to see the collab between Kaggle and Hugging Face. Now you can use any model from Hugging Face directly in Kaggle. Previously, we had to download and upload the models as datasets. This was much needed 🚀

Awesome to see the collab between Kaggle and Hugging Face. Now you can use any model from Hugging Face directly in Kaggle. Previously, we had to download and upload the models as datasets. This was much needed 🚀

abhishek

25,637 次观看 • 1 年前

Introducing Unsloth Studio ✨ A new open-source web UI to train and run LLMs. • Run models locally on Mac, Windows, Linux • Train 500+ models 2x faster with 70% less VRAM • Supports GGUF, vision, audio, embedding models • Auto-create datasets from PDF, CSV, DOCX • Self-healing tool calling and code execution • Compare models side by side + export to GGUF GitHub: Blog and Guide: Available now on Hugging Face, NVIDIA, Docker and Colab.

Introducing Unsloth Studio ✨ A new open-source web UI to train and run LLMs. • Run models locally on Mac, Windows, Linux • Train 500+ models 2x faster with 70% less VRAM • Supports GGUF, vision, audio, embedding models • Auto-create datasets from PDF, CSV, DOCX • Self-healing tool calling and code execution • Compare models side by side + export to GGUF GitHub: Blog and Guide: Available now on Hugging Face, NVIDIA, Docker and Colab.

Unsloth AI

1,691,754 次观看 • 3 个月前

Watch this 45 min video to learn how to create synthetic datasets and train tiny (100M params) local language models that expertise on narrow tasks. Code, datasets, models, harnesses all in comments.

Watch this 45 min video to learn how to create synthetic datasets and train tiny (100M params) local language models that expertise on narrow tasks. Code, datasets, models, harnesses all in comments.

AVB

35,576 次观看 • 1 个月前

We’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor. Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products.

We’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor. Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products.

Cursor

3,038,076 次观看 • 2 个月前

You can run Kimi-K2-Thinking, the most strongest agentic model, in Jan through Hugging Face. Add it to your Hugging Face Inference models to use it.

You can run Kimi-K2-Thinking, the most strongest agentic model, in Jan through Hugging Face. Add it to your Hugging Face Inference models to use it.

👋 Jan

40,181 次观看 • 7 个月前

Atomic Chat is now on Hugging Face 🤗 We're officially a Local App on the world's biggest AI hub. Run 200,000+ open-weight models from Hugging Face directly on your device - private, local, and open source!

Atomic Chat is now on Hugging Face 🤗 We're officially a Local App on the world's biggest AI hub. Run 200,000+ open-weight models from Hugging Face directly on your device - private, local, and open source!

atomic.chat

28,630 次观看 • 22 天前

Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at

Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at

Soham

151,139 次观看 • 1 年前

My next video will be positively awesome! - Train sub-nano 0.1B language models on custom narrow tasks - Write model SDKs/APIs that run blazingly fast in client machine. I'm talking 350 tok/s with 0.3GB peak memory - How to create synthetic datasets and ship vertical SLMs

My next video will be positively awesome! - Train sub-nano 0.1B language models on custom narrow tasks - Write model SDKs/APIs that run blazingly fast in client machine. I'm talking 350 tok/s with 0.3GB peak memory - How to create synthetic datasets and ship vertical SLMs

AVB

64,720 次观看 • 2 个月前

This is HUGE, Hugging Face just shipped Inference Providers on the Hub Partnering with Together AI, @FAL, Replicate and SambaNova! Starting today you can access thousands of Models like DeepSeek R1, Llama, Flux, Whisper, and more Directly from Hugging Face!

This is HUGE, Hugging Face just shipped Inference Providers on the Hub Partnering with Together AI, @FAL, Replicate and SambaNova! Starting today you can access thousands of Models like DeepSeek R1, Llama, Flux, Whisper, and more Directly from Hugging Face!

AK

177,126 次观看 • 1 年前

Run evals—directly from the OpenAI dashboard. Use your test data to compare model performance, iterate on prompts, and improve outputs. Here's a quick walkthrough:

Run evals—directly from the OpenAI dashboard. Use your test data to compare model performance, iterate on prompts, and improve outputs. Here's a quick walkthrough:

OpenAI Developers

86,738 次观看 • 1 年前

ICYMI: Roo Code now integrates with Hugging Face 🤗 Plug in your API key, explore 90+ models, and run them directly from your editor—no wrappers, no token copy-paste. Try it now!

ICYMI: Roo Code now integrates with Hugging Face 🤗 Plug in your API key, explore 90+ models, and run them directly from your editor—no wrappers, no token copy-paste. Try it now!

Roo Code

17,760 次观看 • 11 个月前

Eval scores in 2026 are broken. MMLU at 91%+, GSM8K at 94%+, yet models still can't handle basic multi-step tasks. And reported scores don't even agree across model cards, papers, and platforms. We just shipped Community Evals on Hugging Face: - Benchmark datasets now host live leaderboards (MMLU-Pro, GPQA, HLE) - Scores live in model repos as versioned YAML - Anyone can submit evals to any model via PR without merging. - Verified badges for reproducible runs via Inspect AI This won't fix saturation or stop test set contamination. But it makes the game visible. What was evaluated, how, when, and by whom. Done trusting black-box leaderboards. Time to decentralize evals.

Eval scores in 2026 are broken. MMLU at 91%+, GSM8K at 94%+, yet models still can't handle basic multi-step tasks. And reported scores don't even agree across model cards, papers, and platforms. We just shipped Community Evals on Hugging Face: - Benchmark datasets now host live leaderboards (MMLU-Pro, GPQA, HLE) - Scores live in model repos as versioned YAML - Anyone can submit evals to any model via PR without merging. - Verified badges for reproducible runs via Inspect AI This won't fix saturation or stop test set contamination. But it makes the game visible. What was evaluated, how, when, and by whom. Done trusting black-box leaderboards. Time to decentralize evals.

Ben Burtenshaw

19,259 次观看 • 4 个月前

Learn how to create curved handrails effortlessly in SketchUp with the SketchPlus plugin

Learn how to create curved handrails effortlessly in SketchUp with the SketchPlus plugin

Qiandra

2,559,564 次观看 • 10 个月前

Announcing skillgrade - the easiest way to evaluate your agent skills All you need is two commands: skillgrade init # create evals skillgrade # run them By default evals run in a safe sandboxed docker container

Announcing skillgrade - the easiest way to evaluate your agent skills All you need is two commands: skillgrade init # create evals skillgrade # run them By default evals run in a safe sandboxed docker container

Minko Gechev

44,884 次观看 • 3 个月前

Stopped by @Stripe and Gus Nguyen showed me how their new plugin works with Cursor. You can integrate Stripe in one min!

Stopped by @Stripe and Gus Nguyen showed me how their new plugin works with Cursor. You can integrate Stripe in one min!

edwin

45,372 次观看 • 4 个月前

DesignerGPT 👨‍🎨 My new plugin that lets you create any website directly in chatGPT! It seamlessly integrates with the stable diffusion plugin, and I didn't code that—GPT just knows how to use both. Absolutely unreal! 🤯 Websites are hosted on a remote server via @replit.

DesignerGPT 👨‍🎨 My new plugin that lets you create any website directly in chatGPT! It seamlessly integrates with the stable diffusion plugin, and I didn't code that—GPT just knows how to use both. Absolutely unreal! 🤯 Websites are hosted on a remote server via @replit.

Pietro Schirano

1,238,148 次观看 • 3 年前

How to run LLMs locally in 1 minute [beginner-friendly] using ollama 🦙 and hugging face 🤗

How to run LLMs locally in 1 minute [beginner-friendly] using ollama 🦙 and hugging face 🤗

dylan

27,390 次观看 • 1 年前

Roblox has created an open-source reference integration for Blender 🔶. With this add-on, you can create models and upload them directly to Roblox without having to leave Blender. Learn more about this Plugin on the Forums: #Roblox #RobloxDev

Roblox has created an open-source reference integration for Blender 🔶. With this add-on, you can create models and upload them directly to Roblox without having to leave Blender. Learn more about this Plugin on the Forums: #Roblox #RobloxDev

Bloxy News

270,702 次观看 • 2 年前

finetuning LLMs will never be the same! Unsloth just launched an open-source web UI to run and fine-tune 500+ LLMs without writing any code. key features - run models locally on Mac, Windows, Linux - train 500+ models 2x faster with 70% less VRAM - supports GGUF, vision, audio, embedding models - auto-create datasets from PDF, CSV, DOCX - self-healing tool calling and code execution - compare models side by side + export to GGUF to get started, I've shared links in the next tweet.

finetuning LLMs will never be the same! Unsloth just launched an open-source web UI to run and fine-tune 500+ LLMs without writing any code. key features - run models locally on Mac, Windows, Linux - train 500+ models 2x faster with 70% less VRAM - supports GGUF, vision, audio, embedding models - auto-create datasets from PDF, CSV, DOCX - self-healing tool calling and code execution - compare models side by side + export to GGUF to get started, I've shared links in the next tweet.

Akshay 🚀

45,225 次观看 • 3 个月前