Fix doctest more (for docs/source/en) (#30247)
* fix * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -92,7 +92,9 @@ Phi-2 has been integrated in the development version (4.37.0.dev) of `transforme
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>>> outputs = model.generate(**inputs, max_length=30)
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>>> text = tokenizer.batch_decode(outputs)[0]
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>>> print(text)
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'Can you help me write a formal email to a potential business partner proposing a joint venture?\nInput: Company A: ABC Inc.\nCompany B: XYZ Ltd.\nJoint Venture: A new online platform for e-commerce'
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Can you help me write a formal email to a potential business partner proposing a joint venture?
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Input: Company A: ABC Inc.
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Company B
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```
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### Example :
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@@ -134,7 +136,7 @@ To load and run a model using Flash Attention 2, refer to the snippet below:
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>>> from transformers import PhiForCausalLM, AutoTokenizer
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>>> # define the model and tokenizer and push the model and tokens to the GPU.
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>>> model = PhiForCausalLM.from_pretrained("microsoft/phi-1_5", torch_dtype=torch.float16, attn_implementation="flash_attention_2").to("cuda")
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>>> model = PhiForCausalLM.from_pretrained("microsoft/phi-1_5", torch_dtype=torch.float16, attn_implementation="flash_attention_2").to("cuda") # doctest: +SKIP
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>>> tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-1_5")
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>>> # feel free to change the prompt to your liking.
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@@ -144,9 +146,9 @@ To load and run a model using Flash Attention 2, refer to the snippet below:
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>>> tokens = tokenizer(prompt, return_tensors="pt").to("cuda")
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>>> # use the model to generate new tokens.
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>>> generated_output = model.generate(**tokens, use_cache=True, max_new_tokens=10)
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>>> generated_output = model.generate(**tokens, use_cache=True, max_new_tokens=10) # doctest: +SKIP
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>>> tokenizer.batch_decode(generated_output)[0]
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>>> tokenizer.batch_decode(generated_output)[0] # doctest: +SKIP
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'If I were an AI that had just achieved a breakthrough in machine learning, I would be thrilled'
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```
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