HuggingFace

JAX Diffusers Community Sprint Talks: Day 1

What happens inside the pipeline function? (PyTorch)

Hugging Face Datasets overview (Tensorflow)

🤗 Hugging Cast S2E2 - Accelerating AI with NVIDIA!

[Whisper Fine Tuning Event] Talks: Whisper & VoxPopuli

ML for Audio Study Group - Text to Speech Deep Dive

Byte Pair Encoding Tokenization

Tokenizers Overview

What is Transfer Learning?

Managing a repo on the Model Hub

Word-based tokenizers

🤗 Hugging Cast S2E3 - Deploying LLMs on Google Cloud

Configure Koch v1.1: LeRobot Tutorial #2 by Remi Cadene

Character-based tokenizers

What happens inside the pipeline function? (TensorFlow)

Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi

Debugging the Training Pipeline (TensorFlow)

Text embeddings & semantic search

VQ-BeT: LeRobot Research Presentation #4 by Nur Muhammad "Mahi" Shafiullah & Sengjae (Jay) Lee

How to make your very FIRST open-source contribution (feat. Gradio)

Uploading a dataset to the Hub

Accelerate Big Model Inference: How Does it Work?

Building an LLM Application with Gradio

HuggingCast v2 - StarCoder, Transformer Agents, AI news and demos

Train and use a NLP model in 10 mins!

One Minute Gradio #1: Dynamic Rendering

HumanPlus and MobileAloha: LeRobot Tech Talk #6 by Zipeng Fu

New TensorFlow Features for 🤗 Transformers and 🤗 Datasets

Evaluate Policy: LeRobot Tutorial #5 by Simon Alibert

The Trainer API

Blazing Fast Local LLM Web Apps With Gradio and Llama.cpp

Data Collators: A Tour

Hugging Face is doing Robotics

Inside the Token classification pipeline (PyTorch)

Transformer models: Encoder-Decoders

Loading a custom dataset

A Tour Through The Hugging Face Hub & A Hands on Guide To Gradio

The tokenization pipeline

Create Your Own Gradio Component - Part 1

JAX Diffusers Community Sprint Talks: Day 1

What is normalization?

WordPiece Tokenization

🤗 Tasks: Question Answering

Keras Dreambooth Event Kick-off Session with talks on diffusers & KerasCV

Supercharge your PyTorch training loop with 🤗 Accelerate

Using a custom loss function

What is Hugging Face?

Using a debugger in a notebook

Inference Providers: Best Way to Build with Open Source Models

The Push to Hub API (PyTorch)

🤗 Tasks: Audio Classification