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Learn how to work with transformer architectures using Python and Hugging Face's transformers library. This tutorial teaches you to load models, process text, and understand the core components of modern AI systems like Google's Gemini.
Learn how to fine-tune a pre-trained language model using Hugging Face's Transformers library, a technique used by AI companies like DeepSeek.
Learn how to efficiently explore the TaskTrove dataset using streaming parsing with Python and Hugging Face's datasets library.
Learn how to install and use Meta's NeuralSet package to analyze neuroscientific data with AI techniques, including fMRI, M/EEG, and HuggingFace embeddings.
Learn to build and deploy a chatbot using Hugging Face Transformers and Gradio, gaining hands-on experience with the core technologies behind AI systems like Alibaba's Qwen.