Upload openai_gpt-oss-120b_2.py with huggingface_hub

openai_gpt-oss-120b_2.py

@@ -11,24 +11,8 @@
 # ///
 
 try:
-    # Load model directly
-    from transformers import AutoTokenizer, AutoModelForCausalLM
-    
-    tokenizer = AutoTokenizer.from_pretrained("openai/gpt-oss-120b")
-    model = AutoModelForCausalLM.from_pretrained("openai/gpt-oss-120b")
-    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]:]))
+    import os
+    os.environ['HF_TOKEN'] = 'YOUR_TOKEN_HERE'
     with open('openai_gpt-oss-120b_2.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in openai_gpt-oss-120b_2.txt')
 except Exception as e:
@@ -43,24 +27,8 @@ except Exception as e:
     with open('openai_gpt-oss-120b_2.txt', 'a', encoding='utf-8') as f:
         import traceback
         f.write('''```CODE: 
-# Load model directly
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-tokenizer = AutoTokenizer.from_pretrained("openai/gpt-oss-120b")
-model = AutoModelForCausalLM.from_pretrained("openai/gpt-oss-120b")
-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]:]))
+import os
+os.environ['HF_TOKEN'] = 'YOUR_TOKEN_HERE'
 ```
 
 ERROR: