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distillBert

DistilBert Model for extractive question-answering tasks

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December 29th, 2024

About distillBert

The Hugging Face Transformers library is a state-of-the-art machine learning library for PyTorch, TensorFlow, and JAX. It provides pre-trained models and tools to build, train, and deploy natural language processing models. The DistilBert model is a lightweight version of the original BERT model, designed to be faster and more memory-efficient while maintaining similar performance. It is particularly suited for extractive question-answering tasks like SQuAD, where it uses linear layers on top of...

Key Features

6 features
  • DistilBert model for extractive question-answering tasks.
  • Pre-trained models available for easy use.
  • Compatibility with PyTorch
  • TensorFlow
  • and JAX.
  • Support for fine-tuning and custom model development.

Use Cases

4 use cases
  • Question-answering applications like SQuAD.
  • Text classification.
  • Named entity recognition.
  • Text generation.
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