v0.19.0.dev0

Summary

• Flash Attention was enabled for KearsHub models
• New models added: SD3.5medium version, VIT, MobileNet and BASNet
• New model presets for: MobileNet, EfficientNet, BasNet, VIT, etc
• Updated formatting to Ruff
• Added download support for ModelScope
• Bounding box utilities moved to Keras
• Minor fixes

What's Changed

• Bump version number to 0.19 by @mattdangerw in #2008
• Remove .DS_Store files by @mattdangerw in #2011
• Add supported tasks types to metadata by @mattdangerw in #1997
• Add a numeric check to the PaliGemma2 conversion script by @james77777778 in #2012
• Adds efficientnet2 presets by @pkgoogle in #1983
• Update README.md by @mattdangerw in #2017
• [ViT] Vision Transformer (ViT) backbone, layers, and image classifier by @sineeli in #1989
• Enable Flash Attention for SD3 MMDiT by @james77777778 in #2014
• Use Ruff for formatting by @mattdangerw in #2019
• update devcontainer as per ruff by @sineeli in #2020
• Add ViT Presets by @sineeli in #2021
• Add BASNet to keras hub by @laxmareddyp in #1984
• Some routine cleanup while writing some new tools for checkpoint admin by @mattdangerw in #2023
• Fix broken preset links; presets without versions by @mattdangerw in #2024
• New tools for model preset admin by @mattdangerw in #2025
• Avoid hard error if tf is not installed by @mattdangerw in #2028
• Try requiring a miniumum version of keras by @mattdangerw in #2029
• Update metadata by @mattdangerw in #2026
• Add SD 3.5 medium by @james77777778 in #2033
• Run HF sync by @mattdangerw in #2030
• Improve error messages for tokenizer trainers by @mattdangerw in #2037
• Update formatting for latest Ruff version by @mattdangerw in #2041
• BASNet Kaggle presets path update by @laxmareddyp in #2052
• Update asserts to avoid deprecated methods by @mattdangerw in #2053
• Add pad_to_aspect_ratio flag to ImageConverter by @sineeli in #2045
• Use Flash Attention if available by @james77777778 in #2058
• os.make_dirs is not a thing; os.makedirs is by @mattdangerw in #2061
• Update README.md by @mattdangerw in #2063
• Update auto-assignment.js by @balanprasanth in #2057
• Remove mask = None by @abheesht17 in #2067
• Bump the python group with 2 updates by @dependabot in #2066
• Make gemma inputs int32 same as other models by @mattdangerw in #2069
• Vit bug by @sineeli in #2070
• Update auto-assignment.js by @balanprasanth in #2065
• Fix Pytorch GPU test by @divyashreepathihalli in #2087
• Remove bounding box utils and refactor retinanet by @sineeli in #2039
• Add download support for modelscople. by @pass-lin in #2032
• Port MobileNet by @pkgoogle in #2049
• Add VGG preset test cases by @laxmareddyp in #2090
• Made y optional when we use for inference by @laxmareddyp in #2092
• fix mobilenet tests by @divyashreepathihalli in #2096
• Basnet preset rename in kaggle by @laxmareddyp in #2097
• Fix tensorflow dep in requirements.txt by @abheesht17 in #2100
• test and preset fixes for mobilenet by @pkgoogle in #2098
• Keep TF Text as optional dependency by @abheesht17 in #2103
• Add PaliGemma 2 mix checkpoints by @bebechien in #2106
• Add query_proj, value_proj to target names for enable_lora by @abheesht17 in #2107
• Enable Flash attention in Gemma by @divyashreepathihalli in #2064
• Update gemma_attention.py by @divyashreepathihalli in #2109
• fix attention mask dtype by @divyashreepathihalli in #2110
• Fixing imports in init file and preset name update by @laxmareddyp in #2108
• Add pre-commit hooks by @abheesht17 in #2111
• batch mismatch hotfix by @pkgoogle in #2112

New Contributors

• @laxmareddyp made their first contribution in #1984
• @balanprasanth made their first contribution in #2057
• @pass-lin made their first contribution in #2032
• @bebechien made their first contribution in #2106

Full Changelog: v0.18.1...v0.19.0.dev0