Getting Started with Hugging Face and Weights & Biases

A quick list of reports, docs, videos, and tutorials to get you up and running

Created on January 18|Last edited on March 3

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Getting startedAre you an avid Hugging Face user who wants to take W&B for a spin? Maybe just kicking the tires a bit? Check out our docs and a 60 second explainer video from our Cofounder & CISO Chris VanPelt. 
W&B Documentation for Transformers
Our docs for using W&B with Hugging Face
60 Second Explainer Video
Our cofounder shows you how up and running with W&B and Hugging Face in one minute
An Introduction To HuggingFace Transformers for NLP
In this article, we learn all about the history and utility of HuggingFace, the transformer models that made them a household name, and how you can use them with W&B
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Tuning with Hugging Face and W&BNo matter what you’re doing with Hugging Face, chances are, you’ll need to iterate on your models. The two reports below walk you through fine-tuning HF on a custom dataset as well as how to use W&B Sweeps to perform hyperparameter optimization on your models. 
Hyperparameter Optimization for HuggingFace Transformers
This article explains three strategies for hyperparameter optimization for HuggingFace Transformers, using W&B to track our experiments.
How To Fine-Tune Hugging Face Transformers on a Custom Dataset
In this article, we will learn how to easily fine-tune a HuggingFace Transformer on a custom dataset with Weights & Biases.
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Generative modeling with Hugging FaceWe’re all playing with diffusion models these days. If you want to see how W&B and Hugging Face can make your generative modeling more efficient, check out our report on creating a diffusion model or our webinar with Hugging Face about using our tools together: 
Unconditional Image Generation Using Hugging Face Diffusers
Training unconditional image generation models using HuggingFace Diffusers and Weights & Biases
Webinar: Accelerating Diffusion with Hugging Face
Join machine learning engineers from W&B and HF as they showcase a diffusion pipeline in this free webinar
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Transformers for NLP and beyondAlthough transformers made their initial splash in computer vision, they’ve since enjoyed widespread use in plenty of other domains. These reports walk through a pair of such examples: product search and stock market sentiment analysis.
Recommender Systems Using Hugging Face & NVIDIA
Learn to implement a recommender system with Hugging Face and NVIDIA in this short Transformers4Rec tutorial. Includes an easy-to-follow Colab.
Financial Sentiment Analysis on Stock Market Headlines With FinBERT & HuggingFace
In this article, we analyze the sentiment of stock market news headlines with the HuggingFace framework using a BERT model fine-tuned on financial texts, FinBERT. 
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﻿﻿Distributed training and deploymentLastly, these two reports showcase how you can use Accelerate to help with distributed training and how to optimize your Hugging Face models for deployment. Both walk you through the process step-by-step with code. 
Hugging Face Accelerate Super Charged With Weights & Biases
In this article, we'll walk through how to use Hugging Face Accelerate with W&B, demonstrating how easy it is to perform distributed training and evaluation.
Compare Methods for Converting and Optimizing HuggingFace Models for Deployment
In this article, we'll walk through how to convert trained HuggingFace models to slimmer, leaner models for deployment with code examples.
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Sign upReady to get started? It takes just a few minutes a few lines of code to get up and running on W&B. And it's also free. Click the button below and we'll walk you through it. 
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