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Abhishek Thakur

abhishek
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https://hf.co/autotrain

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new activity about 9 hours ago
hf-doc-build/doc-build:Upload _versions.yml
updated a Space 1 day ago
autotrain-projects/autotrain-advanced
reacted to takarajordan's post with 🔥 19 days ago
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 https://huggingface.co/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! https://huggingface.co/datasets/takarajordan/WorldScenario_20K
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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
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5472
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
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