Complete model card

README.md

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+---
+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 opt-350m
+
+This model is a fine-tuned version of the Meta OPT-350M 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 Meta OPT-350M, with a transformer architecture and 350M 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/opt-350m-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 OPT-350m model to the specific topic of psychology and mental health in Italian language.