distillBert
DistilBert Model for extractive question-answering tasks

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
- 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
- Question-answering applications like SQuAD.
- Text classification.
- Named entity recognition.
- Text generation.
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