Commit History

17 days ago

  1. Install with the local extra; tag as text-classification (#8)⁠

    kzfastino +1: bkinge
    9d1bfb8
  2. Install with the local extra: pip install "gliner2[local]" (#13)⁠

    b0c78b4
  3. Add a Fine-tuning section with training-row formats (#12)⁠

    urchade +1: kzfastino
    f87a56c
  4. Load this checkpoint as a Transformers schema-extraction model. (#11)⁠

    urchade +1: MattThomas-fastino
    2125c8a
  5. Add decision-model tag (#10)⁠

    kzfastino +1: victor
    a6ef71c

27 days ago

  1. Point the fine-tune button to agent.fastino.ai

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    5a7adf7
  2. Point the fine-tune banner to agent.fastino.ai

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    ec2a5d1

  1. Normalize model card and move benchmark near top

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    7ee5da4
  2. Update the Fastino GLiNER skill

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    af5e41e
  3. Update GLiNER2 deployment badge link (#6)⁠

    urchade +1: jaanavi
    bbe10ff
  4. Update GLiNER2.5 fine-tuning badge link (#5)⁠

    urchade +1: jaanavi
    01eaa61
  5. Update Fastino API link (#4)⁠

    urchade +1: jaanavi
    55dba8d
  6. Update the Fastino GLiNER skill

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    65624f1
  7. Mention hosted fine-tuning via the Fastino API (#3)⁠

    kzfastino +1: javi-fastino
    0872ab1
  8. Update the Fastino GLiNER skill

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    4069ac8
  9. Add the Fastino GLiNER skill

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    79c3fb9
  10. Point the benchmark at fastino/fast-decisions

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    8d7170d
  11. Add question, book, label, and ordinal examples

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    b49028a
  12. Explain each classification use case on the model card

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    1e2df4e
  13. Rewrite the model card for release

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    ee4abe5
  14. Add classification task examples to the model card

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    f05b122
  15. Update to step 126500 with benchmark table

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    da05b29
  16. upload banner (#1)⁠

    urchade +1: thaooonguyennn
    bb8e3f9
  17. update banner (#2)⁠

    urchade +1: thaooonguyennn
    3846d9d

  1. Upload large classification finetune at step 95500

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    91c8b6b
  2. initial commit

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    e4ab809