| Sample usage: | |
| ```python | |
| tokenizer = GPT2Tokenizer.from_pretrained("gpt2") | |
| model = GPT2LMHeadModel.from_pretrained("danyaljj/gpt2_question_answering_squad2") | |
| input_ids = tokenizer.encode("There are two apples on the counter. Q: How many apples? A:", return_tensors="pt") | |
| outputs = model.generate(input_ids) | |
| print("Generated:", tokenizer.decode(outputs[0], skip_special_tokens=True)) | |
| ``` | |
| Which should produce this: | |
| ``` | |
| Generated: There are two apples on the counter. Q: How many apples? A: two | |
| ``` |