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--- |
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library_name: peft |
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base_model: mistralai/Mistral-7B-v0.1 |
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--- |
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``` |
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!pip install peft accelerate bitsandbytes |
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``` |
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``` |
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from peft import PeftModel, PeftConfig |
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from transformers import AutoModelForCausalLM |
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from transformers import AutoTokenizer |
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adapater_path = "marekk/Lemma-Mistral-7b-Adapter" |
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config = PeftConfig.from_pretrained(adapater_path) |
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model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, load_in_4bit=True) |
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model = PeftModel.from_pretrained(model, adapater_path) |
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tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path) |
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``` |
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``` |
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from transformers import pipeline |
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generator = pipeline('text-generation', model = model, tokenizer=tokenizer) |
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generator('Render a list by altering each string to its basic lemma form of sport Teams, players and leagues. List:["Slavii", "Spartě", "Olomoucké"]', max_length = 100, num_return_sequences=1 , return_full_text=False, temperature=0.1) |
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``` |
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### Framework versions |
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- PEFT 0.8.2 |
