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abhishek  authored a paper 2 months ago
AutoTrain: No-code training for state-of-the-art models
OpenDriveLab-org  updated a dataset 3 months ago
OpenDriveLab/DriveLM
tomztyang  authored a paper 6 months ago
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
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OpenDriveLab's activity

abhishek 
posted an update 25 days ago
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1615
🎉 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
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5406
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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abhishek 
authored a paper 2 months ago
abhishek 
posted an update 2 months ago
OpenDriveLab-org 
updated a dataset 3 months ago
abhishek 
posted an update 4 months ago
abhishek 
posted an update 4 months ago
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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
tomztyang 
authored a paper 6 months ago
OpenDriveLab-org 
updated a model 7 months ago
abhishek 
posted an update 7 months ago
abhishek 
posted an update 7 months ago
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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
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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
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abhishek 
posted an update 8 months ago
abhishek 
posted an update 8 months ago
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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
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abhishek 
posted an update 8 months ago
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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
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Chonghao 
authored 3 papers 9 months ago
sephyli 
authored 2 papers 9 months ago