Showing 2 open source projects for "batch find and replace"

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  • 1
    Petals

    Petals

    Run 100B+ language models at home, BitTorrent-style

    ...You get the comforts of an API with the flexibility of PyTorch. You can also host BLOOMZ, a version of BLOOM fine-tuned to follow human instructions in the zero-shot regime — just replace bloom-petals with bloomz-petals. Petals runs large language models like BLOOM-176B collaboratively — you load a small part of the model, then team up with people serving the other parts to run inference or fine-tuning.
    Downloads: 0 This Week
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  • 2
    CPT

    CPT

    CPT: A Pre-Trained Unbalanced Transformer

    ...Token embeddings found in the old checkpoints are copied. And other newly added parameters are randomly initialized. We further train the new CPT & Chinese BART 50K steps with batch size 2048, max-seq-length 1024, peak learning rate 2e-5, and warmup ratio 0.1. Aiming to unify both NLU and NLG tasks, We propose a novel Chinese Pre-trained Un-balanced Transformer (CPT).
    Downloads: 0 This Week
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