readme: ---
  language:
  - ru
  - en
  
  license: mit
  
  tags:
  - Cometrain AutoCode
  - Cometrain AlphaML
  
  datasets:
  - All-NeurIPS-Papers-Scraper
  
  widget:
  - text: "NIPSE:"
    example_title: "NIPS"
  - text: "Learning CNN"
    example_title: "Learning CNN"
  - text: "ONNX:"
    example_title: "ONNX"
  - text: "BERT:"
    example_title: "BERT"
   
  inference:
   parameters:
     temperature: 0.9
  
  
  ---
  
  # neurotitle-rugpt3-small
  Model based on [ruGPT-3](https://huggingface.co/sberbank-ai) for generating scientific paper titles.
  Trained on [All NeurIPS (NIPS) Papers](https://www.kaggle.com/rowhitswami/nips-papers-1987-2019-updated) dataset.
  Use exclusively as a crazier alternative to SCIgen.
  
  ## Made with Cometrain AlphaML & AutoCode
  This model was automatically fine-tuned using the Cometrain AlphaML framework and tested with CI/CD pipeline made by Cometrain AutoCode
  
  ## Cometrain AlphaML command
  ```shell
  $ cometrain create --name neurotitle --model auto --task task_0x2231.txt --output transformers
  ```
  ## Use with Transformers
  ```python
  from transformers import pipeline, set_seed
  generator = pipeline('text-generation', model="CometrainResearch/neurotitle-rugpt3-small")
  generator("BERT:", max_length=50)
  ```
  