初始化项目，由ModelHub XC社区提供模型

Model: UCL-CSSB/PlasmidGPT
Source: Original Platform

test_generation.py

@@ -0,0 +1,35 @@
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
+
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+print(f"Using device: {device}")
+
+model = AutoModelForCausalLM.from_pretrained(
+    "/Users/mcclainthiel/plasmidgpt-addgene-gpt2",
+    trust_remote_code=True
+).to(device)
+model.eval()
+
+tokenizer = AutoTokenizer.from_pretrained(
+    "/Users/mcclainthiel/plasmidgpt-addgene-gpt2",
+    trust_remote_code=True
+)
+
+start_sequence = 'ATGGCTAGCGAATTCGGCGCGCCT'
+print(f"Start sequence: {start_sequence}\n")
+
+input_ids = tokenizer.encode(start_sequence, return_tensors='pt').to(device)
+
+outputs = model.generate(
+    input_ids,
+    max_length=300,
+    num_return_sequences=1,
+    temperature=1.0,
+    do_sample=True,
+    pad_token_id=tokenizer.pad_token_id,
+    eos_token_id=tokenizer.eos_token_id
+)
+
+generated_sequence = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(f"Generated sequence:\n{generated_sequence}\n")
+print(f"Length: {len(generated_sequence)} bp")