Dataset-Tools (Dataset Tools)

fdaudens

posted an update about 14 hours ago

Post

295

💪 The open-source community is really unstoppable:

+5M total downloads for DeepSeek models on @hf .co
+4M are from the 700 models created by the community
That's 30% more than yesterday!

davanstrien

posted an update about 23 hours ago

Post

758

Why choose between strong LLM reasoning and efficient models?

Use DeepSeek to generate high-quality training data, then distil that knowledge into ModernBERT answerdotai/ModernBERT-base for fast, efficient classification.

Blog post: https://danielvanstrien.xyz/posts/2025/deepseek/distil-deepseek-modernbert.html

prithivMLmods

posted an update 1 day ago

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1759

Deepswipe by
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. Deepseek🐬🗿

Everything is now in recovery. 📉📈

2 replies

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fdaudens

posted an update 1 day ago

Post

1238

🚀 The open source community is unstoppable: 4M total downloads for DeepSeek models on Hugging Face, with 3.2M coming from the +600 models created by the community.

That's 30% more than yesterday!

1 reply

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Tonic

posted an update 2 days ago

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1887

🙋🏻‍♂️ Hey there folks ,

our team made a game during the @mistral-game-jam and we're trying to win the community award !

try our game out and drop us a ❤️ like basically to vote for us !

Mistral-AI-Game-Jam/TextToSurvive

hope you like it !

davanstrien

posted an update 2 days ago

Post

1548

Updated the ColPali Query Generator Space davanstrien/ColPali-Query-Generator to use Qwen/Qwen2.5-VL-7B-Instruct.

Given an input image, it generates several queries along with explanations to justify them. This approach can generate synthetic data for fine-tuning ColPali models.

fdaudens

posted an update 3 days ago

Post

7186

Yes, DeepSeek R1's release is impressive. But the real story is what happened in just 7 days after:

- Original release: 8 models, 540K downloads. Just the beginning...

- The community turned those open-weight models into +550 NEW models on Hugging Face. Total downloads? 2.5M—nearly 5X the originals.

The reason? DeepSeek models are open-weight, letting anyone build on top of them. Interesting to note that the community focused on quantized versions for better efficiency & accessibility. They want models that use less memory, run faster, and are more energy-efficient.

When you empower builders, innovation explodes. For everyone. 🚀

The most popular community model? @bartowski 's DeepSeek-R1-Distill-Qwen-32B-GGUF version — 1M downloads alone.

4 replies

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davanstrien

posted an update 3 days ago

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1866

🌍 Big step for multilingual AI data!

The Hugging Face community has rated educational content in languages spoken by 1.6 billion people! New additions:
• Japanese
• Italian
• Old High German

Learn more and contribute: https://huggingface.co/blog/davanstrien/fineweb2-community

These ratings can help enhance training data for major world languages.

1 reply

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davidberenstein1957

posted an update 3 days ago

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1685

Let's uncover the post-training dataset from DeepSeek-R1 with Magpie!

Pass pre-query tokens <｜begin▁of▁sentence｜>User: , let the model generate the rest.

We can get realistic examples!

Gist: https://gist.github.com/davidberenstein1957/3f20046ce57395a6aba13f8b4e956b59

6 replies

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davidberenstein1957

updated a collection 4 days ago

Dataset transformation, preparation and edition

Collection

4 items • Updated 4 days ago • 5

fdaudens

posted an update 9 days ago

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1720

What's at stake with Meta's decision to change its content moderation policy? @giadap has, by far, the most thoughtful take I’ve seen on this question. Read her op-ed: https://www.techpolicy.press/when-freedom-bites-back-meta-moderation-and-the-limits-of-tolerance/

davidberenstein1957

updated a collection 9 days ago

Synthetic Dataset Creation

Collection

Spaces focused on generating synthetic datasets • 7 items • Updated 9 days ago • 10

davidberenstein1957

posted an update 9 days ago

Post

1850

The RAG's in the bag!

You can now use the Synthetic Data Generator with your own domain-specific seed data to generate a dataset for fine-tuning retrieval or reranking models.

GitHub: https://buff.ly/49IDSmd
Spaces: https://buff.ly/3Y1S99z
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-modernbert-for-rag-with-synthetic-data

1 reply

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fdaudens

posted an update 10 days ago

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1799

Reminder: Don’t. Use. ChatGPT. As. A. Calculator. Seriously. 🤖

Loved listening to @sasha on Hard Fork—it really made me think.

A few takeaways that hit home:
- Individual culpability only gets you so far. The real priority: demanding accountability and transparency from companies.
- Evaluate if generative AI is the right tool for certain tasks (like search) before using it.

Curious about the full conversation? https://www.nytimes.com/2025/01/17/podcasts/hardfork-tiktok-rednote-environment.html. Give it a listen—it’s worth it! 🌍

1 reply

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prithivMLmods

posted an update 10 days ago

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3389

Q'n' Sketches ❤️‍🔥

🖼️ Adapters:
- Qs : strangerzonehf/Qs-Sketch
- Qd : strangerzonehf/Qd-Sketch
- Qx : strangerzonehf/Qx-Art
- Qc : strangerzonehf/Qc-Sketch
- Bb : strangerzonehf/Bg-Bag

🐍 Collection : strangerzonehf/q-series-sketch-678e3503bf3a661758429717

🔗Page : https://huggingface.co/strangerzonehf

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@prithivMLmods 🤗

davidberenstein1957

posted an update 13 days ago

Post

1231

You can now use the "Synthetic Data Generator" at a much larger scale with your preferred inference engine: Ollama, vLLM, TGI, and serverless inference! 🔥

Install, configure, launch!

Space: argilla/synthetic-data-generator
Examples: https://github.com/argilla-io/synthetic-data-generator/tree/main/examples

nataliaElv

posted an update 13 days ago

Post

1425

New chapter in the Hugging Face NLP course! 🤗 🚀

We've added a new chapter about the very basics of Argilla to the Hugging Face NLP course. Learn how to set up an Argilla instance, load & annotate datasets, and export them to the Hub.

Any feedback for improvements welcome!

https://huggingface.co/learn/nlp-course/chapter10

prithivMLmods

posted an update 14 days ago

Post

3063

ChemQwen-vL [ Qwen for Chem Vision ] 🧑🏻‍🔬

🧪Model : prithivMLmods/ChemQwen-vL

📝ChemQwen-vL is a vision-language model fine-tuned based on the Qwen2VL-2B Instruct model. It has been trained using the International Chemical Identifier (InChI) format for chemical compounds and is optimized for chemical compound identification. The model excels at generating the InChI and providing descriptions of chemical compounds based on their images. Its architecture operates within a multi-modal framework, combining image-text-text capabilities. It has been fine-tuned using datasets from: https://iupac.org/projects/

📒Colab Demo: https://tinyurl.com/2pn8x6u7, Collection : https://tinyurl.com/2mt5bjju

Inference with the documentation is possible with the help of the ReportLab library. https://pypi.org/project/reportlab/

🤗: @prithivMLmods

1 reply

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Tonic

posted an update 14 days ago

Post

1497

🙋🏻‍♂️ Hey there folks ,

Facebook AI just released JASCO models that make music stems .

you can try it out here : Tonic/audiocraft

hope you like it

fdaudens

posted an update 15 days ago

Post

1752

AI agents are coming. But who's in control?

@meg , one of the best researchers in AI ethics, makes a critical point about autonomy: fully autonomous systems carry unknowable risks because they operate on computer logic rather than human logic.

The solution? Build systems that support & assist rather than override human decisions.

I highly recommend reading the blog post written by Meg, @evijit @sasha and @giadap . They define different levels of agent autonomy & provide a values-based analysis of risks, benefits, and uses of AI agents to help you make better decisions.

👉 https://huggingface.co/blog/ethics-soc-7

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