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transformer-model

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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.

  • Updated Sep 7, 2024
  • Python

🧠 Nexus AI - Open Source Vietnamese LLM. Multi-Head Latent Attention (MLA), Mixture-of-Experts 64 experts, FP8 Quantization bằng Triton, YaRN RoPE 128K+ context. Mô hình ngôn ngữ Transformer mã nguồn mở Việt Nam. NLP Deep Learning AI

  • Updated Jul 29, 2026
  • Python

🌿 GreenSight AI Real-Time Terrain Segmentation for Forest Monitoring GreenSight AI is an advanced semantic segmentation system designed to analyze forest terrain using deep learning. The model segments forest images into 10 detailed terrain classes, enabling automated environmental monitoring and land analysis. Final IoU Score : 0.2638

  • Updated Mar 3, 2026
  • Python

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

  • Updated Jun 4, 2023
  • Python

Enterprise Text Classification Model Selection Framework Automated decision-support system for selecting optimal transformer models in production text pipelines. Evaluates BERT, DistilBERT, and ELECTRA across accuracy, speed, and cost metrics for finance, healthcare, legal, and customer service applications.

  • Updated Aug 31, 2025
  • Python

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