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gpt2 on a custom dataset extracted from Lou's List — the University of Virginia's course directory. It is designed to answer questions about course offerings, availability, instructors, and generate plausible class schedules in natural language.1from transformers import GPT2LMHeadModel, GPT2Tokenizer
2
3model = GPT2LMHeadModel.from_pretrained("your-username/uva-gpt2-scheduler")
4tokenizer = GPT2Tokenizer.from_pretrained("your-username/uva-gpt2-scheduler")
5
6prompt = "What classes are available for Data Science in Spring 2024?"
7inputs = tokenizer(prompt, return_tensors="pt")
8outputs = model.generate(**inputs, max_length=100)
9print(tokenizer.decode(outputs[0], skip_special_tokens=True))gpt2 (117M parameters)pytorch_model.bin: Model weightsconfig.json: Model configurationtokenizer.json, vocab.json, merges.txt: Tokenizer files