Showing 2 open source projects for "simple note"

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  • 1
    Minimal text diffusion

    Minimal text diffusion

    A minimal implementation of diffusion models for text generation

    A minimal implementation of diffusion models of text: learns a diffusion model of a given text corpus, allowing to generate text samples from the learned model. The main idea was to retain just enough code to allow training a simple diffusion model and generating samples, remove image-related terms, and make it easier to use. To train a model, run scripts/train.sh. By default, this will train a model on the simple corpus. However, you can change this to any text file using the --train_data argument. Note that you may have to increase the sequence length (--seq_len) if your corpus is longer than the simple corpus. ...
    Downloads: 0 This Week
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  • 2
    gpt-2-simple

    gpt-2-simple

    Python package to easily retrain OpenAI's GPT-2 text-generating model

    ...If you are training in the cloud, using a Colaboratory notebook or a Google Compute Engine VM w/ the TensorFlow Deep Learning image is strongly recommended. (as the GPT-2 model is hosted on GCP) You can use gpt-2-simple to retrain a model using a GPU for free in this Colaboratory notebook, which also demos additional features of the package. Note: Development on gpt-2-simple has mostly been superceded by aitextgen, which has similar AI text generation capabilities with more efficient training time.
    Downloads: 1 This Week
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