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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:
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The assessment of skills acquired during the Training: Mastering Hugging Face Hub for Generative AI and NLP training is carried out through:
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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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