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
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@@ -421,7 +421,7 @@ args = TrainingArguments(
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model_id = "google/gemma-2b"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, low_cpu_mem_usage=True).to(0)
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model = AutoModelForCausalLM.from_pretrained(model_id).to(0)
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trainer = trl.SFTTrainer(
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model=model,
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