Master the Hugging Face ecosystem and Transformer models for state-of-the-art NLP applications.
Register NowDeep dive into BERT, GPT, and other transformer models
Master the Transformers, Datasets, and Tokenizers libraries
Adapt pre-trained models to your specific tasks and domains
Build practical NLP applications you can showcase
By the end of this workshop, you will be able to:
Attention mechanisms and transformer architecture
Transformers, Tokenizers, and Datasets libraries
Exploring and using pre-trained models
Tokenization and dataset preparation
Adapting models to custom tasks and domains
Text classification, NER, QA, and generation
Quantization, distillation, and pruning
Serving models with Inference API and ONNX
Master BERT, RoBERTa, DistilBERT and other encoder models for classification and understanding tasks.
Work with GPT, GPT-2, and other decoder models for text generation and completion.
Use T5, BART and other sequence-to-sequence models for translation and summarization.
Implement distilled, quantized, and pruned models for production environments.
Hands-on experience with the most popular NLP library in the industry
Work with cutting-edge transformer models like BERT and GPT
Learn to optimize and deploy models for real-world applications
From data preparation to model deployment in one framework
Techniques to improve model efficiency and accuracy
Earn a recognized certificate upon completion
Join our intensive 2-day workshop and gain practical skills at the forefront of NLP development.
Register Now