5 projects for "classification" with 2 filters applied:

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  • 1
    Hands-On Large Language Models

    Hands-On Large Language Models

    Official code repo for the O'Reilly Book

    ...Each chapter contains executable Jupyter notebooks that are designed to be run in environments like Google Colab, making it easy for learners to experiment interactively with models, visualize attention patterns, implement classification and generation tasks.
    Downloads: 46 This Week
    Last Update:
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  • 2
    ModernBERT

    ModernBERT

    Bringing BERT into modernity via both architecture changes and scaling

    ...The goal of the project is to bring BERT-style models up to date with the capabilities of modern large language models while preserving the strengths of bidirectional encoder architectures used for tasks such as classification, retrieval, and semantic search. ModernBERT introduces architectural improvements that enhance both training efficiency and inference performance, making the model more suitable for modern large-scale machine learning pipelines. The repository also includes FlexBERT, a modular framework that allows developers to experiment with different encoder building blocks and configurations when constructing new models.
    Downloads: 1 This Week
    Last Update:
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  • 3
    CCIL
    A SOA framework for web content classification, clustering and automated interlinking of terms between documents. Will provide an expandable set of services such as semantic search, ranking, retrieval and classification of large scale web resources.
    Downloads: 0 This Week
    Last Update:
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  • 4
    bge-small-en-v1.5

    bge-small-en-v1.5

    Compact English sentence embedding model for semantic search tasks

    ...It is compatible with popular libraries such as FlagEmbedding, Sentence-Transformers, and Hugging Face Transformers. The model achieves competitive results on the MTEB benchmark, especially in retrieval and classification tasks. With only 33.4M parameters, it provides a strong balance of accuracy and performance for English-only use cases.
    Downloads: 0 This Week
    Last Update:
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    Cut Data Warehouse Costs by 54%

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  • 5
    bge-base-en-v1.5

    bge-base-en-v1.5

    Efficient English embedding model for semantic search and retrieval

    ...It is a fine-tuned BERT-based model designed to produce high-quality, semantically meaningful embeddings for tasks like semantic similarity, information retrieval, classification, and clustering. This version (v1.5) improves retrieval performance and stabilizes similarity score distribution without requiring instruction-based prompts. With 768 embedding dimensions and a maximum sequence length of 512 tokens, it achieves strong performance across multiple MTEB benchmarks, nearly matching larger models while maintaining efficiency. ...
    Downloads: 0 This Week
    Last Update:
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