初始化项目，由ModelHub XC社区提供模型

Model: npc-worldwide/TinyTimV1
Source: Original Platform

text_gen.py

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+
+
+
+from transformers import AutoTokenizer, AutoModelForCausalLM, Trainer, TrainingArguments
+from datasets import load_dataset, load_from_disk
+
+#post training
+model_path = "./results/checkpoint-12000" 
+model = AutoModelForCausalLM.from_pretrained(model_path)
+tokenizer = AutoTokenizer.from_pretrained("tinyllama/tinyllama-1.1b-chat-v1.0")
+
+
+input_text = "ae left to go to ireland and found a fairy"  
+input_ids = tokenizer.encode(input_text, return_tensors='pt')
+output = model.generate(
+    input_ids=tokenizer.encode(input_text, return_tensors="pt"),
+    max_length=400,
+    num_return_sequences=1, 
+    temperature=0.7,
+    top_k=50,  
+    top_p=0.95, 
+    do_sample=True,
+    num_beams=5
+)
+
+decoded_output = tokenizer.decode(output[0], skip_special_tokens=True)
+print(decoded_output)