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README.md
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@@ -17,6 +17,7 @@ tags:
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- Llama 2
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- Q&A
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library_name: peft
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---
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# BODE
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@@ -50,7 +51,7 @@ Você pode usar o Bode facilmente com a biblioteca Transformers do HuggingFace.
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from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
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from peft import PeftModel, PeftConfig
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llm_model = 'recogna-nlp/bode-
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config = PeftConfig.from_pretrained(llm_model)
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model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, trust_remote_code=True, 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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- Llama 2
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- Q&A
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library_name: peft
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inference: false
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---
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# BODE
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from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
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from peft import PeftModel, PeftConfig
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llm_model = 'recogna-nlp/bode-13b-alpaca-pt-br'
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config = PeftConfig.from_pretrained(llm_model)
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model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, trust_remote_code=True, 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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