Upload deepseek-ai_DeepSeek-R1_0.py with huggingface_hub

deepseek-ai_DeepSeek-R1_0.py

@@ -1,14 +1,8 @@
 # /// script
 # requires-python = ">=3.12"
 # dependencies = [
-#     "numpy",
-#     "einops",
-#     "torch",
 #     "transformers",
-#     "diffusers",
-#     "datasets",
-#     "accelerate",
-#     "timm",
+#     "torch",
 # ]
 # ///
 
@@ -21,25 +15,6 @@ try:
         {"role": "user", "content": "Who are you?"},
     ]
     pipe(messages)
-    
-    # Load model directly
-    from transformers import AutoTokenizer, AutoModelForCausalLM
-    
-    tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-R1", trust_remote_code=True)
-    model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1", trust_remote_code=True)
-    messages = [
-        {"role": "user", "content": "Who are you?"},
-    ]
-    inputs = tokenizer.apply_chat_template(
-    	messages,
-    	add_generation_prompt=True,
-    	tokenize=True,
-    	return_dict=True,
-    	return_tensors="pt",
-    ).to(model.device)
-    
-    outputs = model.generate(**inputs, max_new_tokens=40)
-    print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
     with open('deepseek-ai_DeepSeek-R1_0.txt', 'w') as f:
         f.write('Everything was good in deepseek-ai_DeepSeek-R1_0.txt')
 except Exception as e: