Posts – Daniel van Strien

Running a Local Vision Language Model with LM Studio to sort out my screenshot mess

How I used a VLM to sort out my screenshot mess

Daniel van Strien

Using ColPali with Qdrant to index and search a UFO document dataset

Using Qdrant multivectors to index and search a UFO document dataset

Daniel van Strien

Generating a dataset of queries for training and fine-tuning ColPali models on a UFO dataset

Learn how to generate custom ColPali dataset using an open VLM for multimodal retrieval model training and fine-tuning.

Daniel van Strien

Synthetic dataset generation techniques: generating custom sentence similarity data

data

synthetic-data

This post is part of a series on synthetic data generation techniques. You may also want to check out Awesome Synthetic (text) datasets, where I will be collecting these posts.

Synthetic dataset generation techniques: Self-Instruct

data

synthetic-data

This post is part of a series on synthetic data generation techniques. You may also want to check out Awesome Synthetic (text) datasets, where I will be collecting these posts.

Tracing Text Generation Inference calls

How to trace text generation inference calls with Langfuse.

Daniel van Strien

Extracting Insights from Model Cards Using Open Large Language Models

Hugging Face

What do people talk about in their model cards?

How to load a Hugging Face dataset into Qdrant?

Loading a Hugging Face dataset into Qdrant is easy. This post shows how to do it.

Daniel van Strien

How to do groupby for Hugging Face datasets

How can you groupby in Hugging Face datasets?

Daniel van Strien

Exploring language metadata for datasets on the Hugging Face Hub

Using the huggingface_hub library to asses metadata on the hub

Daniel van Strien

Dynamically updating a Hugging Face hub organization README

Using the huggingface_hub library and Jinja to update a README dynamically

Daniel van Strien

Using Hugging Face AutoTrain to train an image classifier without writing any code.

autotrain

How can we train useful machine learning models without writing code?

A (very brief) intro to exploring metadata on the Hugging Face Hub

How we can use the huggingface_hub library to explore metadata on the Hugging Face Hub.

Daniel van Strien

Label Studio x Hugging Face datasets hub

Using label studio and the Hugging Face datasets hub to iteratively annotate a dataset

Daniel van Strien

Training an object detection model using Hugging Face

Training a Detr object detection model using Hugging Face transformers and datasets

Daniel van Strien

Searching for machine learning models using semantic search

Finding models on the Hugging Face hub using semantic search

Daniel van Strien

Combining Hugging Face datasets with dask

Using 🤗 datasets in combination with dask

Daniel van Strien

Using 🤗 datasets for image search

Using the 🤗 datasets to make an image search engine for British Library Book Illustrations

Daniel van Strien

Using the 🤗 Hub for model storage

How I’m planning to use the huggingface hub for storing flyswot models

Daniel van Strien

flyswot

glam

flyswot

Attempting to deploy machine learning in an existing workflow

Image labeling vs classification models

Comparing the loss functions of label and classification models

Daniel van Strien

Hyperparameter Optimization for Transfer Learning

Optimising Hyperparameters using optuna and fastai2

Daniel van Strien

Multi-model metadata generation

Experiment in combining text and tabular models to generate web archive metadata

Daniel van Strien