
The Hugging Face Transformers library provides pretrained models for a variety of tasks with deep interoperability between TensorFlow 2.0 and PyTorch. This provides a:
- Low barrier to entry for educators and practitioners
- State-of-the-art NLP for everyone:
- Lower compute costs, smaller carbon footprint:
Official Website Link : https://huggingface.co/docs/transformers/index

Documentation
Documentation for Transformers with W&B

VIDEO: Tracking HF Experiments with W&B
Learn how to track all your Hugging Face experiments in 60 seconds

An Introduction to Hugging Face
Learn the history of Hugging Face, what it's frequently used for, and how you can use it in your projects

Financial Sentiment Analysis on Stock Market Headlines With FinBERT & Hugging Face
In this tutorial we'll analyze the sentiment of stock market news headlines with the HuggingFace framework using a BERT model fine-tuned on financial texts, FinBERT.

How to Fine-Tune Hugging Face Transformers with Weights & Biases
In this report, we will learn how to easily fine-tune a HuggingFace Transformer on a custom dataset

Hyperparameter Optimization for Hugging Face Transformers
This report explains three strategies for hyperparameter optimization for Hugging Face Transformers.

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.

Hugging Face Accelerate Super Charged with Weights & Biases
A tutorial on how to use Hugging Face Accelerate alongside W&B

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.

Unconditional Image Generation Using Hugging Face Diffusers
Training unconditional image generation models using HuggingFace Diffusers and Weights & Biases

Webinar: Accelerating Diffusion with HF
Join W&B and Hugging Face machine learning engineers to learn how to create and accelerate your own diffusion model
Iterate on AI agents and models faster. Try Weights & Biases today.