Technologies / Artificial Intelligence

Hugging Face in Natural Language Processing

Intensive training in the use of the Hugging Face platform in natural language processing projects. The program focuses on the practical application of the transformer models available in the Hugging Face ecosystem. Participants, through hands-on workshops, will learn methods for implementing, tuning and deploying language models in a production environment. Classes are conducted in the form of intensive workshops with lots of hands-on programming.

Issues

Hugging Face Ecosystem
Transformer model architecture
Tokenization and text preprocessing
Fine-tuning language models
Transfer learning in NLP
Memory and performance management
Optimization of hyperparameters
Evaluation of language models
Text processing pipeline
Integration with applications
Deployment of models
Best manufacturing practices

Benefits

The participant will gain practical skills in using the Hugging Face platform in NLP projects
Will develop a deep understanding of the Transformers ecosystem and its capabilities in various language tasks
Will learn to effectively select and tune models for specific business applications
Will learn techniques for optimizing and implementing models in a production environment
Will be able to independently implement advanced NLP solutions using off-the-shelf models
Will gain the ability to evaluate the quality and performance of language models

Who is this training for?

Machine learning engineers working with NLP

Python programmers using language models

AI researchers experimenting with transformers

Developers of NLP-based applications

Word processing specialists

Data Scientists working with language models

AI solution architects

Prerequisites

Knowledge of the Python language at an intermediate level
Basic knowledge of deep learning
Experience in NLP projects
Understanding the basics of transformers

Training program

Transformers library architecture
Configuration of the working environment
Management of models and tokenizers
Working with language models
Use of ready-made models
Tuning in on your own data

Performance evaluation

Text classification

Machine translation

Implementation and optimization
Preparation of models for production
Performance optimization
Integration with applications
Monitoring and updates

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Hugging Face in Natural Language Processing we recommend: Knowledge of the Python language at an intermediate level; Basic knowledge of deep learning; Experience in NLP projects.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Machine learning engineers working with NLP; Python programmers using language models; AI researchers experimenting with transformers.