NLP
NLP Fundamentals
HuggingFace NLP Course
- Official link: https://huggingface.co/learn/llm-course/zh-CN/chapter7/2
- Highlights: Practical NLP tools and techniques
- Content: Using the Transformers library, fine-tuning models, deployment, and more
Learning Path
- Fundamentals: Text preprocessing, word vectors, language models
- Classic models: RNN, LSTM, GRU, Attention
- Modern architectures: Transformer, BERT, GPT series
- Applied practice: Text classification, named entity recognition, machine translation
贡献者
这篇文章有帮助吗？
最近更新
Involution Hell© 2026 byCommunityunderCC BY-NC-SA 4.0
Other Resources
Explore curated ML resources: the Pumpkin Book for deep math derivations, Li Hongyi’s beginner-friendly DL notes, and the Deep Learning Bible—ideal for CS/AI learners.
Embedding Models
Learn how embedding models map discrete objects like words and images into continuous vectors for semantic similarity, retrieval, and clustering—ideal for AI/ML learners and engineers.