abhishek (Abhishek Thakur)

reacted to clem's post with 🚀🤗❤️ over 1 year ago

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4467

Cool to see @ylecun joining the top 10 of most followed on HF!

(and leaderboard by @mvaloatto is here: https://huggingface.co/spaces/mvaloatto/TCTF)

2 replies

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reacted to takarajordan's post with 🔥 over 1 year ago

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2518

I'm super excited to release my first open-source text dataset:

WorldScenario 20K is a novel dataset of 20,000 synthetically generated multi-stakeholder scenarios designed to simulate real-world decision-making processes. Each scenario explores a unique environmental, societal, or economic issue.

I used the brand new meta-llama/Llama-3.3-70B-Instruct model to generate this dataset and I put the dataset through some post processing to clean and evaluate the dataset for diversity.

I'd appreciate some feedback and thoughts on my new release! Thanks!

takarajordan/WorldScenario_20K

8 replies

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posted an update over 1 year ago

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🎉 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

replied to their post over 1 year ago

for that space, you should ask here: https://huggingface.co/spaces/fffiloni/consistent-character/discussions :)

replied to their post over 1 year ago

im not sure what you mean. is this an issue with autotrain? if yes, open one here please: https://github.com/huggingface/autotrain-advanced/issues

reacted to their post with 👍 over 1 year ago

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6057

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

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posted an update over 1 year ago

Post

6057

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

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reacted to their post with 👍 over 1 year ago

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4432

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

posted an update over 1 year ago

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4432

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

posted an update over 1 year ago

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1533

NEW COMPETITION ALERT 🚀
Artificio/ROAM1RealWorldAdversarialAttack

posted an update over 1 year ago

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1882

🚨 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

replied to their post almost 2 years ago

not really without full logs. can you create an issue here: https://github.com/huggingface/autotrain-advanced with full logs?

reacted to their post with 🚀 almost 2 years ago

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3339

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

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posted an update almost 2 years ago

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3339

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

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reacted to their post with 🔥 almost 2 years ago

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2946

🚨 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

posted an update almost 2 years ago

Post

2946

🚨 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

posted an update almost 2 years ago

Post

3111

🚀🚀🚀🚀 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

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reacted to their post with 😎 about 2 years ago

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3078

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

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