Update README.md
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README.md
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@@ -19,6 +19,37 @@ Input: What are your thoughts on the proposed merger and its potential effects o
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Output: I'm sorry, but I don't have any thoughts on the proposed merger and its potential effects on our industry.
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---
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library_name: peft
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Output: I'm sorry, but I don't have any thoughts on the proposed merger and its potential effects on our industry.
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## Quick tutorial
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import torch
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from peft import PeftModel, PeftConfig
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from transformers import AutoModelForCausalLM, AutoTokenizer
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peft_model_id = "mmendoza/gpt-j-6B-lora-polite-enh"
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config = PeftConfig.from_pretrained(peft_model_id)
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model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map='auto')
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tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
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# Load the Lora model
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model = PeftModel.from_pretrained(model, peft_model_id)
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# Prompting
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batch = tokenizer("You have an input text. Write a polite version of the text preserving the meaning of the input.
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Input: No card counting allowed in blackjack at the casino. Output: ", return_tensors='pt')
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with torch.cuda.amp.autocast():
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output_tokens = model.generate(**batch, max_new_tokens=50, pad_token_id=tokenizer.eos_token_id)
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line = tokenizer.decode(output_tokens[0], skip_special_tokens=True)
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start = 'Output: '
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end = '.'
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line = line.replace("\n"," ")
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line = (line.split(start))[1].split(end)[0]
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"Please refrain from counting cards in blackjack at the casino."
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---
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library_name: peft
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