Repository: huggingface/transformers
Pull request: Fix code examples to load gpt 1 openai community model

# What does this PR do?

Fixes the reference to the model `openai-gpt` that seems to have changed its name from `gpt` to `openai-gpt`


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Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
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<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

Models:

- text models: @ArthurZucker
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @SunMarc

Integrations:

- deepspeed: HF Trainer/Accelerate: @muellerzr
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
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Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

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Documentation: @stevhliu

Changed files:
filename: docs/source/en/model_doc/openai-gpt.md
patch: @@ -43,7 +43,7 @@ The example below demonstrates how to generate text with [`Pipeline`], [`AutoMod
 import torch
 from transformers import pipeline
 
-generator = pipeline(task="text-generation", model="openai-community/gpt", dtype=torch.float16, device=0)
+generator = pipeline(task="text-generation", model="openai-community/openai-gpt", device=0)
 output = generator("The future of AI is", max_length=50, do_sample=True)
 print(output[0]["generated_text"])
 ```
@@ -54,8 +54,8 @@ print(output[0]["generated_text"])
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt")
-model = AutoModelForCausalLM.from_pretrained("openai-community/openai-gpt", dtype=torch.float16)
+tokenizer = AutoTokenizer.from_pretrained("openai-community/openai-gpt")
+model = AutoModelForCausalLM.from_pretrained("openai-community/openai-gpt")
 
 inputs = tokenizer("The future of AI is", return_tensors="pt")
 outputs = model.generate(**inputs, max_length=50)