README.md

---
language: en
license: mit
pipeline_tag: text-generation
tags:
- gpt-neo
- text-generation
- conversational
---

# Model Card for danilo

## Model Details
- **Model Name**: danilo
- **Model Type**: GPT-Neo (Text Generation)
- **Base Model**: EleutherAI/gpt-neo-125M
- **Fine-Tuned**: Yes (Custom dataset)
- **License**: MIT

## Intended Use
This model is designed for **text generation** tasks, such as answering questions, generating conversational responses, or completing text prompts.

## Training Data
The model was fine-tuned on a custom dataset of question-answer pairs to mimic a specific style of responses.

## Limitations
- The model may generate incorrect or nonsensical answers if the input is ambiguous or outside its training scope.
- It may exhibit biases present in the training data.

## Usage
You can use this model with the Hugging Face `transformers` library:

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("your-username/your-model-name")
model = AutoModelForCausalLM.from_pretrained("your-username/your-model-name")

inputs = tokenizer("How do you prioritize tasks when you’re overwhelmed?", return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))