Adding initial support for Label-free concepts - #26
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… with concept pipeline
…es, decoupling it from init/build methods - select native or generated learner supervision through concepts["c"] - standardize dataset samples with native and generated concept dictionaries - standardize '__getitem__' methods of all ConceptDataset implementations - migrate CLIP annotation to Hugging Face preprocessing and model loading - automatically select CUDA, MPS, or CPU unless a device is provided - add example for dataset-aware prompts in 0_basic_usage.py - restrict concept aggregation to merged routing - move the LiteLLM backend to the top-level package - update label-free examples and add coverage for the new APIs
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Adding initial version of label-free cbm, utilizing SigLIP2 instead of labeled concept data.