0.14.0

Summary

• Add Gemma 2 model!
• Support loading fine-tuned transformers checkpoints in KerasNLP. Loading Gemma and Llama3 models are supported for now and will convert on the fly.
• KerasNLP no longer supports Keras 2. Read Getting started with Keras for more information on installing Keras 3 and compatibility with different frameworks. We recommend using KerasNLP with TensorFlow 2.16 or later, as TF 2.16 packages Keras 3 by default.

What's Changed

• Fix newline characters for pali_gemma by @mattdangerw in #1655
• Remove dead code by @mattdangerw in #1659
• Fix some testing on the latest version of keras by @mattdangerw in #1663
• Vicuna Models checkpoints transfer script by @sineeli in #1657
• Add documented but missing methods for some tokenizers by @SamanehSaadat in #1664
• Changed from_preset file downloading to use GFile when able by @VarunS1997 in #1665
• Fix gfile downloads by @mattdangerw in #1666
• More error handling for gfile by @mattdangerw in #1667
• Update error message by @mattdangerw in #1668
• Ditch Keras 2 support by @mattdangerw in #1658
• fix GemmaBackbone.get_layout_map + test by @martin-gorner in #1669
• Covert a safetensor checkpoint from Hugging Face hub by @ariG23498 in #1662
• Add Gemma 2 model by @grasskin in #1673
• Version bump to 0.14.0.dev0 by @grasskin in #1677

Full Changelog: v0.12.1...r0.14