Update README.md
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README.md
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@@ -85,6 +85,10 @@ model = AutoGPTQForCausalLM.from_quantized(model_name_or_path,
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use_triton=use_triton,
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quantize_config=None)
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print("\n\n*** Generate:")
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input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda()
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@@ -96,10 +100,6 @@ print(tokenizer.decode(output[0]))
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# Prevent printing spurious transformers error when using pipeline with AutoGPTQ
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logging.set_verbosity(logging.CRITICAL)
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prompt = "Tell me about AI"
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prompt_template=f'''### Human: {prompt}
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### Assistant:'''
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print("*** Pipeline:")
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pipe = pipeline(
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"text-generation",
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use_triton=use_triton,
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quantize_config=None)
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prompt = "Tell me about AI"
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prompt_template=f'''### Instruction: {prompt}
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### Response:'''
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print("\n\n*** Generate:")
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input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda()
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# Prevent printing spurious transformers error when using pipeline with AutoGPTQ
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logging.set_verbosity(logging.CRITICAL)
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print("*** Pipeline:")
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pipe = pipeline(
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"text-generation",
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