| --- |
| 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 |
