Upload arcee-ai_AFM-4.5B_1.py with huggingface_hub

arcee-ai_AFM-4.5B_1.py

@@ -7,24 +7,14 @@
 # ///
 
 try:
-    # Load model directly
-    from transformers import AutoTokenizer, AutoModelForCausalLM
+    # Use a pipeline as a high-level helper
+    from transformers import pipeline
     
-    tokenizer = AutoTokenizer.from_pretrained("arcee-ai/AFM-4.5B")
-    model = AutoModelForCausalLM.from_pretrained("arcee-ai/AFM-4.5B")
+    pipe = pipeline("text-generation", model="arcee-ai/AFM-4.5B")
     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]:]))
+    pipe(messages)
     with open('arcee-ai_AFM-4.5B_1.txt', 'w') as f:
         f.write('Everything was good in arcee-ai_AFM-4.5B_1.txt')
 except Exception as e: