Basically, Apple provide a version of DistilBERT model that should run on the Neural Engine (ANE) co-processor of Apple Silicon devices, when run via CoreML. It is derived from bert-base-uncased which ...
A production-ready MLOps pipeline for fine-tuning DistilBERT on GLUE tasks (MRPC) with automated hyperparameter optimization and experiment tracking. The project implements Bayesian hyperparameter ...
Neural Networks in just ~20 lines of Python I ran a small hands-on experiment using Hugging Face Transformers. I was able to: - Use a pre-trained neural network (DistilBERT) Trained on the SQuAD ...
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