CTranslate2 3.17.0

New features

• Add new computation types: bfloat16 and int8_bfloat16 (require a GPU with Compute Capability 8.0 or above)
• Support multi-query attention for encoder-decoder models
• Allow converters to register weights as PyTorch tensors instead of Numpy arrays

Fixes and improvements

• Pass the flag trust_remote_code when loading the tokenizer in the Transformers converter
• Improve performance of T5 models by reusing the same relative position bias in every layers
• Whisper: disable the first timestamp decoding rule when a prefix is used
• Install the CMake configuration in the correct library directory (e.g. some platforms use lib64 instead of lib)