Sean Pedrick-Case's picture

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Sean Pedrick-Case PRO

seanpedrickcase

·

AI & ML interests

Open source ML and AI tools for those without GPUs. Data scientist in local government, London, UK.

Recent Activity

liked a model 4 days ago

Qwen/Qwen3-VL-2B-Instruct

updated a Space 7 days ago

seanpedrickcase/document_redaction

updated a Space 7 days ago

seanpedrickcase/topic_modelling

View all activity

Organizations

liked a model 4 days ago

Qwen/Qwen3-VL-2B-Instruct

Image-Text-to-Text • 2B • Updated 12 days ago • 122k • 159

updated 3 Spaces 7 days ago

Document redaction

Process and redact documents

Topic modelling

Generate topics from text data in tabular files

Light PDF web QA chatbot

Chat with documents: PDFs, web pages, CSV/Excel

liked a Space 12 days ago

Document redaction

Process and redact documents

liked 2 Spaces 14 days ago

Light PDF web QA chatbot

Chat with documents: PDFs, web pages, CSV/Excel

Topic modelling

Generate topics from text data in tabular files

updated a Space 14 days ago

Large language model topic modelling

Extract topics and summarize text data using LLMs

liked 2 models 14 days ago

unsloth/Qwen3-4B-Instruct-2507-GGUF

4B • Updated Aug 20 • 53.5k • 87

PaddlePaddle/PaddleOCR-VL

Image-Text-to-Text • 1.0B • Updated about 22 hours ago • 28k • 1.2k

liked a model about 2 months ago

unsloth/gemma-3-4b-it-qat-unsloth-bnb-4bit

Image-Text-to-Text • 3B • Updated May 12 • 360 • 2

updated a Space about 2 months ago

Large language model topic modelling

Extract topics and summarize text data using LLMs

updated a Space 2 months ago

Document redaction

Process and redact documents

updated 3 Spaces 3 months ago

Address Matching

Match addresses to a reference file or API

Light PDF web QA chatbot

Chat with documents: PDFs, web pages, CSV/Excel

Light PDF web QA chatbot

Chat with documents: PDFs, web pages, CSV/Excel

updated 2 Spaces 4 months ago

Document redaction

Process and redact documents

Large language model topic modelling

Extract topics and summarize text data using LLMs