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transformer-model

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SreeEswaran / Text-Summarization-using-BART

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This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.

text model transformers text-generation transformer bart text-summarization bidirectional auto-regressive-model transformer-model auto-regressive-transformers
  • Updated Sep 7, 2024
  • Python

Rushour0 / Image-Caption

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Blip Image Captioning + GPT-2 Happy Model: Generate joyful responses to image captions using state-of-the-art NLP and computer vision. Pretrained models and data preprocessing included for seamless integration. Explore the intersection of deep learning, sentiment analysis, and language generation

natural-language-processing computer-vision deep-learning sentiment-analysis text-generation image-captioning data-preprocessing language-generation pretrained-model transformer-model
  • Updated Jun 4, 2023
  • Python

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