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Releases: DS4SD/docling-ibm-models

v3.1.2

10 Jan 12:41
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Fix

  • Use old transformers version with old torch version (#70) (b3e072e)

v3.1.1

09 Jan 12:53
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Fix

  • Force numpy < 2.0.0 on mac intel (#69) (7f9365f)

v3.1.0

13 Dec 13:24
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Feature

  • Add arguments for LayoutPredictor (#66) (fe6a476)

v3.0.0

11 Dec 12:06
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Feature

  • New API for models initialization with accelerators parameters. Use HF implementation for LayoutPredictor. Migrate models to safetensors format. (#50) (04295b2)

Breaking

  • New API for models initialization with accelerators parameters. Use HF implementation for LayoutPredictor. Migrate models to safetensors format. (#50) (04295b2)

v2.0.8

11 Dec 11:53
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Fix

v2.0.7

02 Dec 16:00
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Fix

  • Improve numpy compatibility pinning (#57) (de2f241)

v2.0.6

20 Nov 12:21
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Fix

v2.0.5

20 Nov 08:46
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Fix

  • Removing dependency from mean_average_precision package (not in use) (#53) (65affef)

v2.0.4

18 Nov 16:38
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Fix

v2.0.3

30 Oct 16:46
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Fix

  • Simplify torch dependencies in the wheels (#45) (bca09f8)