Pingkit is a toolkit designed for training reproducible, capacity-aware models using transformer activations. It offers features for extracting embeddings, training neural architectures, and creating custom probes tailored to specific research needs. The toolkit is integrated with Hugging Face models and provides various utilities for data processing and model training.