metadata

language: en
license: mit
tags:
  - conversational
  - gpt
  - chatbot
  - finetune
model_name: my-dialoGPT-model
finetuned_from: microsoft/DialoGPT-small
datasets:
  - custom

My DialoGPT Model

This is a fine-tuned version of microsoft/DialoGPT-small on custom data about Dominica.

Model Details

Model Name: DialoGPT-small
Training Data: Custom dataset about Dominica
Evaluation: Achieved eval_loss of 12.85

Usage

To use this model, you can load it as follows:

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the model and tokenizer
model_name = "unknownCode/IslandBoyRepo"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Generate a response
input_text = "What is the capital of Dominica?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(response)