Hügga

I conducted an automated audit of 2,500 "Trending" models on Hugging Face using Veritensor. The scan uncovered 86 critical issues.

The Wild West of Hugging Face: I Audited 2,500 Models and Found 86 Critical Issues

Hugging Face's FineVision: Messy Data is Better Than You Think

HuggingFace Chooses Arch-Router for Omni Chat! Arch creator Salman Paracha details the significance in his HackerNoon post. 

HuggingFace Chooses Arch (Router)

 We’ll explore what Hugging Face offers, how to use its resources, and how it’s transforming the field of artificial intelligence.

Here's How the Pros Use Hugging Face to Run Countless AI Models on their PCs

HuggingChat is an AI chatbot similar to ChatGPT but built on open-source models.

Meet HuggingChat: A FREE and Open-Source Alternative to ChatGPT!

12/13/2024: Trending stories on Hackernoon today!

The TechBeat: Step-by-Step: Building a REST API That Talks to Hugging Face Models (12/13/2024)

12/11/2024: Trending stories on Hackernoon today!

The TechBeat: Step-by-Step: Building a REST API That Talks to Hugging Face Models (12/11/2024)

You'll learn about the Hugging Face platform, setting up a project, creating an access token, building a Java client, and more!

Step-by-Step: Building a REST API That Talks to Hugging Face Models

 Spectral is collaborating with deep learning experts from Hugging Face to advance open-source models, datasets, and applications for the Onchain Agent Economy.

Spectral Labs Joins Hugging Face’s ESP Program: Advancing The Onchain x Open-Source AI Community

HackerNoon curated and open sourced the internet's most cited 7M+ tech company news articles and blog posts about the 3k+ most valuable tech companies.

Tech Company News Data Dump on HuggingFace: 3M Most Cited Posts About 3k Most Valued Tech Companies

Craft concise summaries like a pro: Build your text summarizer web app with Gradio and NLP magic.

How to Build a Text Summarizer with Gradio and Hugging Face Transformers 

This article explains the difference between two AI platforms: Eden AI and Hugging Face.

Eden AI vs Hugging Face: Use Cases,  Target Users and Value Propositions 

In this blog, I will show you how to quickly create an entirely free app using a JavaScript program that runs within the free Oracle database and calls Hugging 

Calling Hugging Face AI From an Oracle Database Using JavaScript

If you want the Gegenseitigengeldbeitragendenverhaltnismassigkeiten rearranged and readjusted I am ready for that.

GERMAN FOR THE HUNGARIANS

The austere poets of the Middle Ages stigmatised the accursed city in their writings under the name of the New Babylon.

The King of Hungary

A year passed by before Joan, conquered by her infatuation, conceived the smallest suspicion of her lover’s sincerity.

Andre’s tutor hastily assembled the chief Hungarian lords

Hugging Face offers solutions and tools for developers and researchers. This article looks at the Best Hugging Face Datasets for Building NLP Models.

10 Best Hugging Face Datasets for Building NLP Models

Speed up state-of-the-art ViT models in Hugging Face 🤗 up to 2300% (25x times faster ) with Databricks, Nvidia, and Spark NLP 🚀

Scale Vision Transformers (ViT) Beyond Hugging Face

In this article, we are going to create an end-to-end AI Sentiment Analysis web application using Gradio and hugging face transformers.

How to Build a Sentiment Analysis App Using Gradio and Hugging Face

The Datasets library from hugging Face provides a very efficient way to load and process NLP datasets from raw files or in-memory data. These NLP datasets have been shared by different research and practitioner communities across the world.

NLP Datasets from HuggingFace: How to Access and Train Them

How to fine-tune a Hugging Face Transformer model for Sequence Classification

How to Fine Tune a 🤗 (Hugging Face) Transformer Model

Transformer-based models are a game-changer when it comes to using unstructured text data. As of September 2020, the top-performing models in the General Language Understanding Evaluation (GLUE) benchmark are all BERT transformer-based models. At Georgian, we often encounter scenarios where we have supporting tabular feature information and unstructured text data. We found that by using the tabular data in these models, we could further improve performance, so we set out to build a toolkit that makes it easier for others to do the same.

A Beginner Guide to Incorporating Tabular Data via HuggingFace Transformers

Raw measurements don’t tell the full story. 

Why Measuring Time is Not Enough: a Practical Roofline Model for ML Training

A hands-on guide to fine-tuning large language models, covering SFT, DPO, RLHF, and a full Python training pipeline.

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