test huggingface transformers

test_huggingface_transformer.py

@@ -0,0 +1,18 @@
+import transformers
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers import LlamaForCausalLM
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-0.5B-Instruct")
+from transformers import LlamaConfig
+config = LlamaConfig(
+    vocab_size=32000,  
+    hidden_size=4096,  
+    num_attention_heads=32,  
+    num_hidden_layers=32, 
+    intermediate_size=11008,  
+)
+
+model = LlamaForCausalLM(config)
+
+model = transformers.Qwen2ForCausalLM(config)
+model_size = sum(t.numel() for t in model.parameters())
+print(f"Model Size: {model_size/1000**2:.1f}M parameters")