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Qwen2 VL – Inference and Fine-Tuning for Understanding Charts

Sovit Ranjan RathSovit Ranjan Rath March 3, 2025March 3, 2025 0 Comments
Qwen2 VL – Inference and Fine-Tuning for Understanding Charts

In this article, we explore the Qwen2 VL model. We start with the architecture, move on to the inference using pretrained mode, and fine-tune the Qwen2 VL model for chart understanding. ...

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Fine-Tuning Llama 3.2 Vision

Sovit Ranjan RathSovit Ranjan Rath February 24, 2025February 24, 2025 2 Comments
Fine-Tuning Llama 3.2 Vision

In this article, we are fine-tuning the Llama 3.2 Vision model using Unsloth on a LaTeX2OCR dataset. After fine-tuning, we create a Gradio application where can upload a LaTeX equation image to convert them to raw LaTeX equations. ...

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Llama 3.2 Vision – With Unsloth and Gradio

Sovit Ranjan RathSovit Ranjan Rath February 17, 2025February 17, 2025 3 Comments
Llama 3.2 Vision – With Unsloth and Gradio

In this article, we explore the Llama 3.2 Vision model. We start with the architecture, and eventually build a Gradio application for chatting with images while loading the model from Unsloth. ...

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Unsloth – Getting Started

Sovit Ranjan RathSovit Ranjan Rath February 10, 2025February 10, 2025 0 Comments
Unsloth – Getting Started

This article covers an introduction to the Unsloth LLM library. It covers the need for Unsloth, the steps to install it, running inference using various language models like Llama 3.1, Gemma2, and Mistral v-0.3, and also understanding the chat templates. ...

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DINOv2 Segmentation – Fine-Tuning and Transfer Learning Experiments

Sovit Ranjan RathSovit Ranjan Rath February 3, 2025February 3, 2025 3 Comments
DINOv2 Segmentation – Fine-Tuning and Transfer Learning Experiments

In this article, we simply the semantic segmentation (pixel classification) head of the DINOv2 model and carry out experiments comparing fine-tuning and transfer learning. ...

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