readme: This is a gpt-2 model trained on 4000 rows of this [dataset](https://huggingface.co/datasets/bs-modeling-metadata/OSCAR_Entity_13_000).
  
  Code to generate text using this model:
  ```
  from transformers import AutoModelWithLMHead, AutoTokenizer
  
  text = "The students pursuing their masters at Harvard [["   #Special token used for entities is [[ ]]
  
  tokenizer = AutoTokenizer.from_pretrained("gpt2")
  model = AutoModelWithLMHead.from_pretrained("manandey/gpt2-entity")
  inputs = tokenizer(text, return_tensors="pt")
  
  sample_outputs = model.generate(
                                  **inputs,
                                  do_sample=True,   
                                  min_length=100, 
                                  max_length=300,
                                  top_k=30,                                 
                                  top_p=0.7,        
                                  temperature=0.9,
                                  repetition_penalty=2.0,
                                  num_return_sequences=5
                                  )
  
  for i, sample_output in enumerate(sample_outputs):
    print("{}: {}\n\n".format(i, tokenizer.decode(sample_output, skip_special_tokens=True)))
  ```