from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Gabriel2502/gclc-rl-model-deepseek")
tokenizer = AutoTokenizer.from_pretrained("Gabriel2502/gclc-rl-model-deepseek")

prompt = "Generate GCLC code for: triangle ABC with AB=5, AC=7, angle A=60 degrees"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0]))

Files

checkpoint/: Model weights and config
training_outputs/: Detailed episode logs
training_curves.png: Training progress visualization