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 training can be carried out locally on customer premises in Yokohama or in NobleProg corporate training centers in Yokohama.
The centre is located within a 5-minute walk from JR Kannai station and a 3-minute walk from Yokohama Blue Line Subway’s Ka...
The centre is located within a 5-minute walk from JR Kannai station and a 3-minute walk from Yokohama Blue Line Subway’s Kannai station. On the north side of the centre is the traditional business district lined with governmental offices, including the prefectural office, Yokohama’s city hall, customs , and port authorities. The area is home to a large number of import / export companies. The city is known for its international air which attracts expats as well as the good old cultural heritage loved by tourists. Tourism thrives here, with many attractions, hotels near the waterfront and the retro downtown area of Motomachi. Yokohama station, one of the biggest hubs in the Tokyo metropolitan area is less than a 10 minute train-ride from this centre. Yokohama station connects to many railway companies and you will reach Tokyo or Shibuya station in 30 minutes.
This instructor-led, live training in Yokohama (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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