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Ankush Singal

Andyrasika

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Recent Activity

updated a collection 12 days ago

updated a collection 15 days ago

upvoted an article about 1 month ago

Decoding Strategies in Large Language Models

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Articles

SwanLab and Transformers: Power Up Your NLP Experiments

Estimating Memory Consumption of LLMs for Inference and Fine-Tuning for Cohere Command-R+

RAG Empowerment: Cohere C4AI Command-R and Transformers Unveiled

Elevate Responses: RAG with LlamaIndex & MongoDB

Revolutionizing Video Transcription: Unveiling Gemma-2b-it and Langchain in the Era of Transformers

Transformers and Quadrant: Revolutionizing Data Integration for NLP Tasks

Quantization of Transformer Models with Neural Compressor

Unleashing the Power of Unsloth and QLora:Redefining Language Model Fine-Tuning

Unleashing the Power of Logprobs in Language Models: A Practical Guide

Unveiling TinyLlama: An Inspiring Dive into a Revolutionary Small-Scale Language Model

Multimodal IDEFICS: Unveiling the Transparency & Power of Open Visual Language Models

Streamlining Data Management with Hugging Face and DVC: A Seamless Integration

Leveraging Transformers and PyTorch for Multiple Choice Question Tasks

Uniting Forces: Integrating Hugging Face with Langchain for Enhanced Natural Language Processing

Detecting the Deceptive: Unmasking Deep Fake Voices

Hearing is Believing: Revolutionizing AI with Audio Classification via Computer Vision

InfiniText: Empowering Conversations & Content with Mistral-7B-Instruct-v0.1

Samantha and Mistral 7B: A Powerful and Versatile Language Model Duo

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Andyrasika's activity

updated a collection 12 days ago

Transformers

This collection is for Transformer Articles • 8 items • Updated 12 days ago • 1

updated a collection 15 days ago

Transformers

This collection is for Transformer Articles • 8 items • Updated 12 days ago • 1

upvoted an article about 1 month ago

Article

Decoding Strategies in Large Language Models

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Oct 29

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updated 3 collections about 1 month ago

multimodal

this collection is for multimodal papers • 2 items • Updated Nov 8 • 1

RAG articles

This collection is meant for RAG articles • 10 items • Updated Nov 7 • 1

Fine-Tuning

Fine-Tuning • 2 items • Updated Nov 5 • 1

updated a collection about 2 months ago

computation

this is for Mixture of XXX • 1 item • Updated Oct 23 • 1

upvoted 2 collections about 2 months ago

computation

this is for Mixture of XXX • 1 item • Updated Oct 23 • 1

Fine-Tuning

Fine-Tuning • 2 items • Updated Nov 5 • 1

updated a collection about 2 months ago

Fine-Tuning

Fine-Tuning • 2 items • Updated Nov 5 • 1

updated a collection 2 months ago

RAG articles

This collection is meant for RAG articles • 10 items • Updated Nov 7 • 1

New activity in microsoft/Florence-2-large 2 months ago

Clarification on JSON Lines Dataset for Multi-Task Fine-Tuning of Florence-2

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updated a collection 2 months ago

Audio

This collection is dedicate to Audio Transformers • 2 items • Updated Oct 8 • 1

reacted to MonsterMMORPG's post with 🔥 2 months ago

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Detailed Comparison of JoyCaption Alpha One vs JoyCaption Pre-Alpha — 10 Different Style Amazing Images — I think JoyCaption Alpha One is the very best image captioning model at the moment for model training — Works very fast and requires as low as 8.5 GB VRAM

Where To Download And Install

You can download our APP from here : https://www.patreon.com/posts/110613301

1-Click to install on Windows, RunPod and Massed Compute
Official APP is here where you can try : fancyfeast/joy-caption-alpha-one

Have The Following Features

Auto downloads meta-llama/Meta-Llama-3.1–8B into your Hugging Face cache folder and other necessary models into the installation folder

Use 4-bit quantization — Uses 8.5 GB VRAM Total

Overwrite existing caption file

Append new caption to existing caption

Remove newlines from generated captions

Cut off at last complete sentence

Discard repeating sentences

Don’t save processed image

Caption Prefix

Caption Suffix

Custom System Prompt (Optional)

Input Folder for Batch Processing

Output Folder for Batch Processing (Optional)

Fully supported Multi GPU captioning — GPU IDs (comma-separated, e.g., 0,1,2)

Batch Size — Batch captioning

updated a collection 3 months ago

Transformers

This collection is for Transformer Articles • 8 items • Updated 12 days ago • 1

upvoted a collection 3 months ago

Transformers

This collection is for Transformer Articles • 8 items • Updated 12 days ago • 1

updated a collection 3 months ago

RAG articles

This collection is meant for RAG articles • 10 items • Updated Nov 7 • 1