The NLP field has come leaps and bounds in the last 3-4 years. And HuggingFace has been at the forefront of bringing the state-of-the-art NLP libraries to the NLP community. So who better to hear from about this than HuggingFace's Co-Founder Thomas Wolf?
In this webinar Thomas will 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 webinar will be dedicated to an introduction of the open-source tools released by HuggingFace, in particular HuggingFace's Transformers, Tokenizers and Datasets libraries, and models.
Key Takeaways from the Webinar:
What is transfer learning
What can it be used for
What tools is HuggingFace providing
Who is this Webinar for?
Data scientists using NLP data
NLP practitioners
NLP Researchers
Speaker:
Thomas Wolf, Co-Founder and CSO, 🤗HuggingFace
Thomas Wolf is the 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.
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