lines (say N=10,000), it will compile and run it correctly in about 90% of
GLiNER2 unifies Named Entity Recognition, Text Classification, Structured Data Extraction, and Relation Extraction into a single 205M parameter model. It provides efficient CPU-based inference without requiring complex pipelines or external API dependencies.
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（二）船上火灾，但是由于承运人本人的过错所造成的除外；