Online or onsite, instructor-led live Hugging Face training courses demonstrate through interactive hands-on practice how to effectively utilize Hugging Face for natural language processing (NLP) tasks.
Hugging Face training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Hugging Face trainings in Nagoya can be carried out locally on customer premises or in NobleProg corporate training centers.
Nagoya is the third largest city in Japan. This open office is located in the district surrounding Nagoya station. Since 2015...
Nagoya is the third largest city in Japan. This open office is located in the district surrounding Nagoya station. Since 2015, landmark buildings kept inaugurating around the station and by 2017, it is predictable that many corporations will choose to be in this Meieki area. Furthermore, with the magnetic-levitated linear shinkansen to start service in 2027, Nagoya has strategic advantage.
Nagoya and Aichi area is known for its auto industry like Toyota. Besides automobiles, there are many head offices of Japanese manufacturers. With their affiliated companies and partners located in the same area, the city itself is a business complex. In recent years, forward-thinking IT companies are also trying to get a foothold in Nagoya. Besides all the attention-gathering news on the redevelopment, Meieki area has good access to Tokyo, Osaka and other major cities. It is also convenient for sales activity and commute. Therefore, it is a popular yet practical business district.
This instructor-led, live training in Nagoya (online or onsite) is aimed at data scientists, machine learning practitioners, and NLP researchers and enthusiasts who wish to effectively utilize Hugging Face for NLP tasks.
By the end of this training, participants will be able to:
Utilize a Hugging Face Transformer model, and fine-tune it on a specific dataset.
Gain the ability to independently address common NLP challenges.
Create and share your model demos effectively.
Streamline the optimization of your models for production.
Employ Hugging Face Transformers for solving a wide range of machine learning problems.
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