People are flexing their end of year stats, so I made this app to show @hf.co hub stats in a tidy design!
Thanks @jfcalvo.hf.co and @ameeelie.bsky.social for the feature!
🚀 Argilla v2.6.0 is here! 🎉
Let me show you how EASY it is to export your annotated datasets from Argilla to the Hugging Face Hub. 🤩
Take a look to this quick demo 👇
💁♂️ More info about the release at github.com/argilla-io/a...
#AI #MachineLearning #OpenSource #DataScience #HuggingFace #Argilla
Imagine creating custom datasets and training AI models WITHOUT writing a single line of code. We did and made it a reality.
@hf.co Synthetic Data Generator
Blog: huggingface.co/blog
Space: huggingface.co/spaces/argil...
GitHub: github.com/argilla-io/s...
Desperate to contribute to the development of Scots language AI. I've just contributed 16 examples to this dataset:
data-is-better-together-fineweb-c.hf.space/share-your-p...
I've just contributed 156 examples to the FineWeb 2 Spanish dataset:
data-is-better-together-fineweb-c.hf.space/share-your-p...
If you want to contribute, sign in with @hf.co and find your language
Most liked and most downloaded open-source AI models from 2022 to 2024
Interactive viz: aiworld.eu/embed/model/...
Discussion: huggingface.co/spaces/huggi...
The great @benburtenshaw.bsky.social is running an open course on fine-tuning smol LLMs, and it’s seriously worth checking out.
If you’re into AI or just curious about how these small language models work, this could be right up your alley. Don’t miss it—it’s super interesting!
#AI #LLMs #Learning
There's more! You can check out all the details on the release page
github.com/argilla-io/a...
👀 A new redesigned home page with cards for datasets, so it's easier to see how annotation efforts are progressing.
🚅 With this last release we upgrade to Pydantic v2 and Python 3.13, which should make importing and working with big datasets a bit faster.
🙌 I just wanted to share a few thoughts about the latest Argilla release, 2.5.0, as it's a pretty big one!
Argilla now has full support for webhooks, which means you can do some pretty cool stuff, like model training on the fly as annotations are created. 🤯
#MachineLearning #NLP #DataLabeling
We’re looking for an intern to join our SmolLM team! If you’re excited about training LLMs and building high-quality datasets, we’d love to hear from you. 🤗
US: apply.workable.com/huggingface/...
EMEA: apply.workable.com/huggingface/...
A snippet of code with the following content: Sequence({ "label": ClassLabel(names=question.values), "start": features.Value(dtype="int64"), "end": features.Value(dtype="int64"), })
Did you know that on Argilla, we’re adding a new feature to export labeled datasets directly to the Hugging Face Hub? 🤔
We’re leveraging the Hugging Face datasets library for seamless integration, including defining span labeling
Stay tuned for the release!🧠✨
#MachineLearning #NLP #DataLabeling
