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custom_generate_bad_requirements

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Safetensors
custom_generate
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@@ -37,6 +37,6 @@ model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct", devic
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  inputs = tokenizer(["The quick brown"], return_tensors="pt").to(model.device)
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  gen_out = model.generate(**inputs, custom_generate="transformers-community/custom_generate_bad_requirements", trust_remote_code=True)
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- print(tokenizer.batch_decode(gen_out, skip_special_tokens=True))
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  ```
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  inputs = tokenizer(["The quick brown"], return_tensors="pt").to(model.device)
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  gen_out = model.generate(**inputs, custom_generate="transformers-community/custom_generate_bad_requirements", trust_remote_code=True)
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+ # You should get an exception regarding missing requirements
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  ```
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