Artificio

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https://www.artificio.org

AI & ML interests

We are an R&D company that has the general goal of solving Visual Intelligence in Humans, Machines and anywhere in between.

Recent Activity

abhishek authored a paper 2 months ago

AutoTrain: No-code training for state-of-the-art models

Suryavf updated a Space 4 months ago

Artificio/ROAM2FewShotChallenge

Dunant updated a Space 4 months ago

Artificio/ROAM1RealWorldAdversarialAttack

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Artificio's activity

abhishek

posted an update 26 days ago

Post

1617

🎉 SUPER BLACK FRIDAY DEAL 🎉

Train almost any model on a variety of tasks such as llm finetuning, text classification/regression, summarization, question answering, image classification/regression, object detection, tabular data, etc for FREE using AutoTrain locally. 🔥
https://github.com/huggingface/autotrain-advanced

abhishek

posted an update about 2 months ago

Post

5410

INTRODUCING Hugging Face AutoTrain Client 🔥
Fine-tuning models got even easier!!!!
Now you can fine-tune SOTA models on all compatible dataset-model pairs on Hugging Face Hub using Python on Hugging Face Servers. Choose from a number of GPU flavors, millions of models and dataset pairs and 10+ tasks 🤗

To try, install autotrain-advanced using pip. You can ignore dependencies and install without --no-deps and then you'd need to install some dependencies by hand.

"pip install autotrain-advanced"

Github repo: https://github.com/huggingface/autotrain-advanced

6 replies

abhishek

authored a paper 2 months ago

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published Oct 21 • 58

abhishek

posted an update 2 months ago

Post

4387

AutoTrain: No-code training for state-of-the-art models (2410.15735)

Suryavf

updated a Space 4 months ago

Runtime error

🚀

ROAM2FewShotChallenge

Dunant

updated a Space 4 months ago

Running

🚀

ROAM1RealWorldAdversarialAttack

abhishek

posted an update 4 months ago

Post

1501

NEW COMPETITION ALERT 🚀
Artificio/ROAM1RealWorldAdversarialAttack

abhishek

posted an update 4 months ago

Post

1854

🚨 NEW TASK ALERT 🚨
Extractive Question Answering: because sometimes generative is not all you need 😉
AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 🚀
Check out the blog post on getting started with this task: https://huggingface.co./blog/abhishek/extractive-qa-autotrain

abhishek

posted an update 7 months ago

Post

3317

You can now train/finetune custom sentence transformer embedding models using AutoTrain. Read blog: https://huggingface.co./blog/abhishek/finetune-custom-embeddings-autotrain

2 replies

abhishek

posted an update 8 months ago

Post

2935

🚨 NEW TASK ALERT 🚨
🎉 AutoTrain now supports Object Detection! 🎉
Transform your projects with these powerful new features:
🔹 Fine-tune any supported model from the Hugging Face Hub
🔹 Seamless logging with TensorBoard or W&B
🔹 Support for local and hub datasets
🔹 Configurable training for tailored results
🔹 Train locally or leverage Hugging Face Spaces
🔹 Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain

abhishek

posted an update 8 months ago

Post

3062

🚀🚀🚀🚀 Introducing AutoTrain Configs! 🚀🚀🚀🚀
Now you can train models using yaml config files! 💥 These configs are easy to understand and are not at all overwhelming. So, even a person with almost zero knowledge of machine learning can train state of the art models without writing any code. Check out example configs in the config directory of autotrain-advanced github repo and feel free to share configs by creating a pull request 🤗
Github repo: https://github.com/huggingface/autotrain-advanced

2 replies

abhishek

posted an update 8 months ago

Post

3072

How to Finetune phi-3 on MacBook Pro
https://huggingface.co./blog/abhishek/phi3-finetune-macbook

abhishek

posted an update 8 months ago

Post

2371

Trained another version of llama3-8b-instruct which beats the base model. This time without losing too many points on gsm8k benchmark. Again, using AutoTrain 💥 pip install autotrain-advanced
Trained model: abhishek/autotrain-llama3-orpo-v2

1 reply

abhishek

posted an update 8 months ago

Post

3476

With AutoTrain, you can already finetune the latest llama3 models without writing a single line of code. Here's an example finetune of llama3 8b model: abhishek/autotrain-llama3-no-robots

2 replies

abhishek

posted an update 11 months ago

Post

Happy to announce, brand new, open-source Hugging Face Competitions platform 🚀 Now, create a machine learning competition for your friends, colleagues or the world for FREE* and host it on Hugging Face: the AI community building the future. Creating a competition requires only two steps: pip install competitions, then run competitions create and create competition by answering a few questions 💥 Checkout the github repo: https://github.com/huggingface/competitions and docs: https://hf.co/docs/competitions