GLiFormer Large v1

by hugging-appsco.huggingface.hugging-apps/gliformer-large-v1-demo

  • Remote endpoint
  • 5 tools

Tools

  • gliformer_large_v1_demo_classify_text Classify text against candidate classes supplied at inference time. Returns: A label/confidence mapping and the raw prediction JSON.
  • gliformer_large_v1_demo_extract_entities Extract named entities from text with entity types chosen at inference time. Returns: The text as (substring, entity_label) pairs, plus the raw prediction JSON.
  • gliformer_large_v1_demo_extract_relations Extract entities and the relations between them in a single joint pass. Returns: Highlighted entities, a head/relation/tail table, and the raw prediction JSON.
  • gliformer_large_v1_demo_extract_structured Extract structured records from text following a JSON schema. The schema maps a record name to its fields. Fields may be a flat typed mapping (``{"person": {"name": "str", "age": "int"}}``) or nest repeated children as a one-element list (``{"company": {"name": "str", "depots": [{"depot": "str"}]}}``) for multi-level records. Returns: The extracted records as a JSON string.
  • gliformer_large_v1_demo_rank_by_similarity Rank candidate texts against a query using the model's embedding head. Returns: A ranked candidate/cosine-similarity table and the raw ranking JSON.

As the server's own listing gives them. We never call a tool.