AI Documentation

Infinitode’s AI resources give you access to pretrained models and high‑quality datasets for text analysis, generation, and more. You can integrate them directly via Hugging Face or clone from GitHub.

🤖 AI Models

We maintain an expanding collection of models on Hugging Face and GitHub, particularly related to our OPEN-ARC project, which addresses various tasks.

Model Name

terraria-weapon-name-generation-model (OPEN-ARC)

Task

Text generation

HF Link

https://huggingface.co/InfinitodeLTD/TWNGM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-5-TWNG/project-5-twng.ipynb

Latest Version

v1.0.0

Model Name

crop-recommendation-model (OPEN-ARC)

Task

Classification

HF Link

https://huggingface.co/InfinitodeLTD/CRM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-7-CR/project-7-cr.ipynb

Latest Version

v1.0.0

Model Name

plant-stress-prediction-model (OPEN-ARC)

Task

Classification

HF Link

https://huggingface.co/InfinitodeLTD/PSPM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-8-PSPM/project-8-pspm.ipynb

Latest Version

v1.0.0

Model Name

traffic-accident-prediction-model (OPEN-ARC)

Task

Classification

HF Link

https://huggingface.co/InfinitodeLTD/TAPM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-9-TAPM/project-9-tapm.ipynb

Latest Version

v1.0.0

Model Name

mushroom-classification-model (OPEN-ARC)

Task

Classification

HF Link

https://huggingface.co/InfinitodeLTD/MCM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-10-MCM/project-10-mcm.ipynb

Latest Version

v1.0.0

Model Name

basic-personality-prediction-model (OPEN-ARC)

Task

Classification

HF Link

https://huggingface.co/InfinitodeLTD/BPPM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-11-BPPM/project-11-bppm.ipynb

Latest Version

v1.0.0

Model Name

spam-mail-classification-model (OPEN-ARC)

Task

Classification

HF Link

https://huggingface.co/InfinitodeLTD/SMCM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-12/notebook.ipynb

Latest Version

v1.0.0

Model Name

india-housing-price-prediction-model (OPEN-ARC)

Task

Regression

HF Link

https://huggingface.co/InfinitodeLTD/IHPPM-OPEN-ARC

GitHub Link

https://github.com/Infinitode/OPEN-ARC/blob/main/Project-13/notebook.ipynb

Latest Version

v1.0.0

Installation

You can replicate the implementation, training, and inference code by cloning the model's GitHub repository, if available.

Important Note

Usage of our AI models must strictly adhere to our guidelines, prohibiting any involvement in violent, adult content, or illegal activities. Any violation of these guidelines will result in an immediate revocation of the open-source license, potentially leading to legal consequences. We strongly emphasize the importance of responsible usage.

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📦 Datasets

Our curated datasets are available for research and fine‑tuning on Hugging Face, with mirrors on GitHub for easy cloning.

Dataset Name

PWLDS

Description

10M+ passwords with strength levels

HF Link

https://huggingface.co/datasets/InfinitodeLTD/PWLDS

GitHub Repo

https://github.com/Infinitode/PWLDS

Dataset Name

CRSD

Description

10K+ synthetic customer reviews with sentiment labels

HF Link

https://huggingface.co/datasets/InfinitodeLTD/CRSD

GitHub Repo

https://github.com/Infinitode/CRSD

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OPEN-ARC

OPEN-ARC is our new collaborative initiative focused on research in AI fields. This community allows you to test and learn from various implementations, utilizing the same data and different architectures. You can improve upon existing solutions or create your own to address the challenges presented. Our goal is to advance research and tackle global problems through collaboration, ultimately enhancing technology for everyone. You can view OPEN-ARC's source code and check out the available challenges and projects here: https://github.com/Infinitode/OPEN-ARC.

OPEN-ARC is beginner-friendly. It includes helpful comments in all notebooks, and sometimes pre-trained models that you can use.