README.md

metadata

license: apache-2.0
datasets:
  - Salesforce/wikitext
language:
  - en
base_model:
  - openai-community/gpt2
pipeline_tag: text-generation
library_name: transformers
tags:
  - text-generation-inference

pip install transformers

import torch
from transformers import GPT2LMHeadModel, GPT2Tokenizer

# Loading pre-trained GPT-2 model and tokenizer
model_name = "prithivMLmods/Gpt2-Wikitext-9180"
tokenizer = GPT2Tokenizer.from_pretrained(model_name)
model = GPT2LMHeadModel.from_pretrained(model_name)

# Set the model to evaluation mode
model.eval()

def generate_text(prompt, max_length=100, temperature=0.8, top_k=50):
    input_ids = tokenizer.encode(prompt, return_tensors="pt")
    output = model.generate(
        input_ids,
        max_length=max_length,
        temperature=temperature,
        top_k=top_k,
        pad_token_id=tokenizer.eos_token_id,
        do_sample=True
    )
    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
    return generated_text

# Example prompt
prompt = "Once upon a time"
generated_text = generate_text(prompt, max_length=68)

# Print the generated text
print(generated_text)