v0.1.0 Model Compression Research Package Initial Release

First release of Intel Labs' Model Compression Research Package, the current version includes model compression methods from previous published papers and our own research papers implementations:

• Pruning, quantization and knowledge distillation methods and schedulers that may fit various PyTorch models out-of-the-box
• Integration to HuggingFace/transformers library for most of the available methods
• Various examples showing how to use the library
• Prune Once for All: Sparse Pre-Trained Language Models reproduction guide and scripts