Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Hugging Face - Master Transformers and AI in 4 Days training are: Advanced Python, basics of PyTorch or TensorFlow, NLP and ML fundamentals.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Hugging Face - Master Transformers and AI in 4 Days training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Hugging Face - Master Transformers and ... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Hugging Face - Master Transformers and AI in 4 Days 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.

Teaching resources provided

To ensure the quality of the Training Hugging Face - Master Transformers and AI in 4 Days training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Hugging Face - Master Transformers and AI in 4 Days training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training program

Module 1Hugging Face Introduction: Installation and Basic Pipelines (Transformers, Datasets)

Discover Hugging Face by installing Transformers, explore the Hub to download models and datasets, configure tokenizers on real cases like text classification, practice pipelines for sentiment analysis and translation, create your first functional scripts, and test on concrete exercises for immediate productivity gains.

Module 2Advanced Tasks: NER, QA, and Text Generation (Pipelines, Optimized Methods)

Dive into NER and question-answering with advanced pipelines, generate text with GPT-like models, adapt methods to your business projects, complete exercises on real datasets like IMDB or SQuAD, produce ready-to-use scripts, and boost your skills for fast and reliable AI applications.

Module 3Fine-Tuning Models: Trainer API and Custom Datasets (Tools, Exercises)

Master fine-tuning with the Trainer API on Hugging Face, prepare custom datasets using the Datasets library, train BERT-like models on specific tasks, optimize hyperparameters through practical exercises, generate precision/recall metrics, and obtain high-performing custom models for your professional needs.

Module 4Deployment and Optimization: Spaces, API, and Real Cases (Production Deliverables)

Deploy AI apps on Hugging Face Spaces, integrate Inference Endpoints for scalability, optimize inference with quantization, test end-to-end on real business cases, produce deployed portfolios, and leave with a complete toolkit for immediate production and rapid ROI.