Title: An Introduction To Transfer Learning In NLP and HuggingFace Abstract: In this talk, I'll start by introducing the recent breakthroughs in NLP that resulted from the combination of Transfer Learning schemes and Transformer architectures. The second part of the talk will be dedicated to an introduction of the open-source tools released by HuggingFace, in particular our Transformers, Tokenizers and Datasets libraries and our models. Bio: Thomas Wolf is co-founder and Chief Science Officer of HuggingFace. His team is on a mission to catalyze and democratize NLP research. Prior to HuggingFace, Thomas gained a Ph.D. in physics, and later a law degree. He worked as a physics researcher and a European Patent Attorney. https://thomwolf.io/ About HuggingFace: HuggingFace is doing open-research and open-source in the field of NLP, creating popular open-source platforms for NLP developers and researchers to use, build, and study state-of-the-art natural language processing technologies including text classification, information extraction, summarization, text generation, and conversational artificial intelligence. https://huggingface.co/ #NLP #DeepLearning #HuggingFace Please subscribe and like the video to help me keep motivated to make awesome videos like this one. :) To buy my book, Approaching (Almost) Any Machine Learning problem, please visit: https://bit.ly/buyaaml Follow me on: Twitter: https://twitter.com/abhi1thakur LinkedIn: https://www.linkedin.com/in/abhi1thakur/ Kaggle: https://kaggle.com/abhishek Instagram: https://instagram.com/abhi4ml