metadata
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:
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))