Model Content Protocol Course from Hugging Face - MCP Course Introduction

1

The Future of Natural Language Processing

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Trends in Model Size & Computational Efficiency in NLP

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Increasing Data Usage in Natural Language Processing

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In Domain & Out of Domain Generalization in the Future of NLP

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The Limits of NLU & the Rise of NLG in the Future of NLP

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The Lack of Robustness in the Future of NLP

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Inductive Bias, Common Sense, Continual Learning in The Future of NLP

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Train and use a NLP model in 10 mins!

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Automatic text classification in a few lines of code

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Train a Hugging Face Transformers Model with Amazon SageMaker

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What is Transfer Learning?

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The pipeline function

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Navigating the Model Hub

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Character-based tokenizers

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Transformer models: Decoders

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The Transformer architecture

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Transformer models: Encoder-Decoders

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Transformer models: Encoders

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Keras introduction

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The push to hub API

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Subword-based tokenizers

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Fine-tuning with TensorFlow

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Learning rate scheduling with TensorFlow

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TensorFlow Predictions and metrics

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Tokenizers Overview

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Word-based tokenizers

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Welcome to the Hugging Face course

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The tokenization pipeline

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Supercharge your PyTorch training loop with Accelerate

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The Trainer API

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Batching inputs together (PyTorch)

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Batching inputs together (TensorFlow)

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Hugging Face Datasets overview (Pytorch)

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Hugging Face Datasets overview (Tensorflow)

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What is dynamic padding?

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What happens inside the pipeline function? (PyTorch)

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What happens inside the pipeline function? (TensorFlow)

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Instantiate a Transformers model (PyTorch)

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Instantiate a Transformers model (TensorFlow)

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Preprocessing sentence pairs (PyTorch)

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Preprocessing sentence pairs (TensorFlow)

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Write your training loop in PyTorch

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Managing a repo on the Model Hub

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Chapter 1 Live Session with Sylvain

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Chapter 2 Live Session with Lewis

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The push to hub API

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Chapter 2 Live Session with Sylvain

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Chapter 3 live sessions with Lewis (PyTorch)

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Day 1 Talks: JAX, Flax & Transformers 🤗

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Day 2 Talks: JAX, Flax & Transformers 🤗

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Day 3 Talks JAX, Flax, Transformers 🤗

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Chapter 4 live sessions with Omar

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Deploy a Hugging Face Transformers Model from S3 to Amazon SageMaker

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Deploy a Hugging Face Transformers Model from the Model Hub to Amazon SageMaker

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Run a Batch Transform Job using Hugging Face Transformers and Amazon SageMaker

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[Webinar] How to add machine learning capabilities with just a few lines of code

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Hugging Face + Zapier Demo Video

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Hugging Face + Google Sheets Demo

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Hugging Face Infinity Launch - 09/28

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Introducing AutoNLP (Trailer)

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