A Comprehensive Implementation Guide to ModelScope for Model Search, Inference, Fine-Tuning, Evaluation, and Export
TL;DR AI
2 min readKey summary
The workflow begins with environment setup, dependency checks, and GPU verification.
It installs ModelScope, Transformers, PyTorch, datasets, and export tools.
The notebook searches ModelScope Hub for BERT models and downloads AI-ModelScope/bert-base-uncased locally.
It loads the IMDB train split and applies pretrained pipelines to NLP and computer vision tasks.
The tutorial fine-tunes an IMDB sentiment classifier, evaluates it, and exports it for deployment while connecting ModelScope with Hugging Face Transformers.
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