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DistilBERT

NLP Free

DistilBERT is a smaller, faster, and lighter version of BERT developed by Hugging Face that retains 97% of BERT's language understanding performance while being 40% smaller and 60% faster. It is widely used for efficient NLP tasks including text classification, named entity recognition, question answering, and sentiment analysis where inference speed and computational cost are important constraints. DistilBERT is one of the most downloaded models on Hugging Face and serves as a foundation for many production NLP deployments.

💰 Pricing
Free
📂 Category
NLP
🏷️ Tags
bert, nlp, open source, text classification
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