readme: ---
  language: 
    - it
  thumbnail: "url to a thumbnail used in social sharing"
  tags:
  - psychology
  - distilgpt2
  widget:
  - text: "Il cognitivismo"
  - text: "Parliamo di attaccamento"
  - text: "Le cause del disturbo d'ansia nei bambini sono"
  ---
  
  # Italian Psychology DistilGPT-2
  
  This model is a fine-tuned version of the GPT-2 language model, trained on a dataset of Italian psychology articles. 
  It is capable of generating human-like text on topics related to psychology and mental health in Italian language.
  
  ## Model details
  
  The base model used for fine-tuning is the GPT-2 model, with a transformer architecture and 1250M parameters. 
  The fine-tuning dataset consists of approximately 10,000 Italian psychology articles.
  
  ## Example usage
  
  ```python
  from transformers import pipeline
  
  nlp = pipeline("text-generation", model="misterkilgore/distilgpt2-psy-ita")
  
  generated_text = nlp("Le cause del disturbo d'ansia nei bambini sono", max_length=100)
  print(generated_text)
  ```
  
  ## Limitations and bias
  This model has been trained on a dataset of Italian psychology articles and may not perform well on other types of text or in other languages. 
  Additionally, the dataset used to fine-tune the model may contain biases and limitations, which will be reflected in the generated text.
  
  ## Dataset
  The dataset used to fine-tune this model is composed of Italian psychology articles. 
  It contains various topics on mental health and psychology, but some limitations and biases may be present. This model is meant to be used only for research and educational purposes.
  
  ## Training data
  The training data is composed of Italian psychology articles. 
  Fine-tuning was performed on this dataset to adapt the base GPT-2 model to the specific topic of psychology and mental health in Italian language.
  
  