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PyTorch, ready for GGUF/Ollama conversionconfig.json: GPT2 model configurationpytorch_model.bin: Fine-tuned model weightstokenizer_config.json, vocab.json, merges.txt: Tokenizer filesgeneration_config.json: Optional generation tuningREADME.md: You’re reading it!main.py: (Optional) FastAPI local serving codepip install transformers torch1from transformers import GPT2Tokenizer, GPT2LMHeadModel
2
3tokenizer = GPT2Tokenizer.from_pretrained("Vijay1303/delta")
4model = GPT2LMHeadModel.from_pretrained("Vijay1303/delta")
5model.eval()
6
7input_ids = tokenizer("Hello Delta, can you help me?", return_tensors="pt").input_ids
8outputs = model.generate(input_ids, max_length=50, do_sample=True)
9print(tokenizer.decode(outputs[0], skip_special_tokens=True))pip install fastapi uvicorn transformers torchuvicorn main:app --reload --port 80001curl -X POST http://localhost:8000/generate \
2 -H "Content-Type: application/json" \
3 -d '{"prompt": "Hello Delta,", "max_length": 50}'