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. Swatar onsite live Hugging Face trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Swatar, City Centre
Regus Swatar, City Centre, 2nd Floor, Tower Business Centre, Swatar, Malta, BKR4013
The Swatar City Centre is on the second floor of Tower Business Centre, in the Swatar suburb of Birkirkara, a key commercial ...
The Swatar City Centre is on the second floor of Tower Business Centre, in the Swatar suburb of Birkirkara, a key commercial district.
On the same road is the HSBC global call centre. Malta is a popular location for back office services, especially call centres, because of its reliable telecoms infrastructure and English speaking population.
The Swatar City Centre is near major financial services, offshore banks and other leading companies.
The country's main industries are expanding from tourism and freight to diverse manufacturing including pharmaceuticals, electronics, rubber, plastics, packaging, security systems, marine products and biomedical equipment.
The centre is opposite a new state-of-the-art hospital, also a major interchange for the public transport network.
Swatar borders on the university town of Msida and the centre's location near Birkirkara bypass makes it convenient for Malta International Airport and the capital city Valletta.
There is a public garden, named Swatar Garden, which is situated at Balliju Guttenberg Street. The garden is equipped with European standard facilities such as; a 5-a-side football ground, energy efficient lightning and safety and security measures
This instructor-led, live training in Swatar (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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