Fix doctest more (for docs/source/en) (#30247)

* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2024-04-15 14:10:59 +02:00
committed by GitHub
parent ec344b560d
commit fe2d20d275
8 changed files with 36 additions and 29 deletions

View File

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