#ml
5 pages tagged ml.
transformers
Package-level reference for the Hugging Face transformers library on PyPI — install extras, backend choice, versioning, and alternatives.
scikit-learn
Package-level reference for scikit-learn — install, versioning, extras, and gotchas. The de-facto classical-ML library on PyPI.
scikit-learn
Build classical ML pipelines with scikit-learn. Covers the estimator API, train_test_split, Pipeline, ColumnTransformer, cross-validation, metrics, and model persistence.
Frameworks
Hugging Face Transformers, LangChain, Google Gemini SDK, and LangSmith — practical reference for AI/ML frameworks and observability tools.
transformers
Load and run pre-trained models for NLP, vision, and audio with the Hugging Face Transformers library. Covers pipelines, AutoModel, tokenisation, generation, fine-tuning, and device placement.