Remove all traces of low_cpu_mem_usage (#38792)

* remove it from all py files

* remove it from the doc

* remove it from examples

* style

* remove traces of _fast_init

* Update test_peft_integration.py

* CIs

docs/source/en/model_doc/chameleon.md

@@ -170,7 +170,6 @@ model_id = "facebook/chameleon-7b"
 model = ChameleonForConditionalGeneration.from_pretrained(
     model_id,
     torch_dtype=torch.bfloat16,
-    low_cpu_mem_usage=True,
     attn_implementation="flash_attention_2"
 ).to(0)
 ```

docs/source/en/model_doc/llava_next.md

@@ -157,7 +157,7 @@ import requests
 
 processor = LlavaNextProcessor.from_pretrained("llava-hf/llava-v1.6-mistral-7b-hf")
 
-model = LlavaNextForConditionalGeneration.from_pretrained("llava-hf/llava-v1.6-mistral-7b-hf", torch_dtype=torch.float16, low_cpu_mem_usage=True)
+model = LlavaNextForConditionalGeneration.from_pretrained("llava-hf/llava-v1.6-mistral-7b-hf", torch_dtype=torch.float16)
 model.to("cuda:0")
 
 # prepare image and text prompt, using the appropriate prompt template
@@ -292,7 +292,6 @@ from transformers import AutoModelForImageTextToText
 model = AutoModelForImageTextToText.from_pretrained(
     model_id,
     torch_dtype=torch.float16,
-    low_cpu_mem_usage=True,
     use_flash_attention_2=True
 ).to(0)
 ```

docs/source/en/model_doc/llava_onevision.md

@@ -121,7 +121,6 @@ processor = AutoProcessor.from_pretrained("llava-hf/llava-onevision-qwen2-7b-ov-
 model = LlavaOnevisionForConditionalGeneration.from_pretrained(
     "llava-hf/llava-onevision-qwen2-7b-ov-hf",
     torch_dtype=torch.float16,
-    low_cpu_mem_usage=True,
     device_map="cuda:0"
 )
 
@@ -286,7 +285,6 @@ from transformers import LlavaOnevisionForConditionalGeneration
 model = LlavaOnevisionForConditionalGeneration.from_pretrained(
     model_id,
     torch_dtype=torch.float16,
-    low_cpu_mem_usage=True,
     use_flash_attention_2=True
 ).to(0)
 ```