| | --- |
| | library_name: peft |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | --- |
| | |
| | ``` |
| | !pip install peft accelerate bitsandbytes |
| | ``` |
| |
|
| | ``` |
| | from peft import PeftModel, PeftConfig |
| | from transformers import AutoModelForCausalLM |
| | from transformers import AutoTokenizer |
| | adapater_path = "marekk/Lemma-Mistral-7b-Adapter" |
| | config = PeftConfig.from_pretrained(adapater_path) |
| | model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, load_in_4bit=True) |
| | model = PeftModel.from_pretrained(model, adapater_path) |
| | tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path) |
| | ``` |
| |
|
| | ``` |
| | from transformers import pipeline |
| | generator = pipeline('text-generation', model = model, tokenizer=tokenizer) |
| | 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) |
| | ``` |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.8.2 |
