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_lossof 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)
- Downloads last month
- 7
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.