FRfreeCodeCamp
Hugging Face NLP Course
Intermediate 30 hours English Professional CertificateFREE
About this course
The Hugging Face NLP Course is the definitive free resource for learning the Transformers library: loading pretrained models, tokenizing text, fine-tuning BERT and similar models for classification, NER, and question answering, and building production NLP pipelines.
Created by the Hugging Face team themselves, this course covers the full ecosystem — Datasets, Tokenizers, Accelerate, and the Hub — giving practitioners hands-on familiarity with the tools that have become the standard for applied NLP.
What you'll learn
Load and use pretrained transformer models for text classification and generation
Tokenize text correctly for different transformer architectures
Fine-tune BERT and other models on custom NLP tasks
Build NLP pipelines using Hugging Face Datasets and Transformers
Share models and datasets on the Hugging Face Hub
This course includes
30h
On-demand video
Yes
Mobile access
English
Language
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Instructor
HF
Hugging Face Team
freeCodeCamp instructor
120K+ learners3 courses4.8 instructor rating
Created by the Hugging Face team, the company behind the Transformers library used by over 100,000 researchers and practitioners worldwide.
Requirements
- Python proficiency; basic ML and deep learning fundamentals
Who this course is for
- ML practitioners who want to use transformers for practical NLP tasks
- Data scientists who want to apply BERT and GPT-style models without training from scratch
- Engineers building NLP-powered features using pretrained models
About this provider
FR
freeCodeCamp
Free, open-source coding curriculum. 9M+ learners, project-based certifications.
Frequently asked questions
Complementary — the DeepLearning.AI course teaches how transformers work architecturally; this teaches how to use them in practice. Do both.
Yes — completely free with no certificate, hosted at huggingface.co/course. No paywall.