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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training: Mastering Hugging Face Hub for Generative AI and NLP training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training: Mastering Hugging Face Hub for Generative AI and NLP training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training: Mastering Hugging Face Hub for Generative AI and NLP training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Presentation of Hugging Face and the open science philosophy. Overview of the Hub (models, datasets, spaces). Account creation, authorization token configuration. Searching and filtering models according to business needs. Introduction to the interface and collaborative features.
Installation of the Transformers library. Loading models via the Hub for text classification, sentiment analysis, text generation. Handling Tokenizers. Quick fine-tuning on a custom dataset with Trainer API. Concepts of copyright and ethical models.
Learn to upload your own models to the Hub. Version management and collaborative documentation. Creating a Space to deploy an interactive AI demo (Gradio). Automating the ML workflow with the Hugging Face API: integration into an application pipeline, quota management, access security. Community best practices, open-source publication, and promotion.
Target audience
Developers, Data Scientists, AI Project Managers wishing to leverage open-source models from Hugging Face
Prerequisites
Python basics, general understanding of machine learning
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