New features

• Experimental support of AVX512 in manually vectorized functions: this code path is not enabled by default but can be enabled by setting the environment variable CT2_FORCE_CPU_ISA=AVX512
• Add Transformers converter option copy_files to copy any files from the Hugging Face model to the converted model directory
• Expose some Whisper parameters:
  • max_initial_timestamp_index
  • suppress_blank
  • suppress_tokens

Fixes and improvements

• Reduce conversion time for large models by skipping some weights comparisons
• Reduce maximum memory usage when converting Transformers models with --quantization float16
• Set FP32 compute type for FP16 convolutions to match the PyTorch behavior and accuracy
• Update oneDNN to 3.0.1