3_parameter_efficient_finetuning/notebooks/load_lora

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"S65GcxNGA9kz" }, "source": [ "## Load adapters from the Hub\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 517, "referenced_widgets": [ "ff2454cf69b346fea70070522cf93689", "87b36eb4ad3b4047a32c7d67a5aabc5e", "8bf9fd4bd28e4bc1b5895bc9315e727e", "01845549768a4db580b5555809e83342", "a490025901df478f93be1f19c1be4b09", "4f0c97b8555942aea6a8003228c07427", "80aea5c9422648ef91292d75fb46c8dc", "8af46fc543bf46a68ac78c2e8e7e9ddc", "b7b8897c988445ae8f9db9b928674477", "4bc518f16b7644e5a11bda66cc285d89", "441a953149814848a24edc9398a2ef63", "75913676a5df43fbbfe744b8882188df", "1e94c570880449d0a2763bc1eba09057", "d72bd17e161442b0979dceaaef66d82c", "2396a162f70d41a384afd1fcb2f78d11", "39f1a52884e3440c8b521e493d6e1a53", "528b93d088054955906282b1c9f93a17", "99b9d36317a34143acf982fa3b089fda", "4f592d7632fd440aac0bf97ceed2de75", "1b515483e5884479b2101127c16321d4", "ce8d4bac782949579a2e52864455d9de", "523deba849044669bfe8c959750708fc" ] }, "id": "hsD1VKqeA62Z", "outputId": "83ecbf31-3f84-4b8e-d667-10317f7adcec" }, "outputs": [], "source": [ "import torch\n", "import transformers\n", "from datasets import load_dataset\n", "from peft import LoraConfig, get_peft_model\n", "from peft import PeftModel, PeftConfig\n", "from transformers import AutoModelForCausalLM, AutoTokenizer\n", "\n", "peft_model_id = \"ybelkada/opt-6.7b-lora\"\n", "config = PeftConfig.from_pretrained(peft_model_id)\n", "model = AutoModelForCausalLM.from_pretrained(\n", " config.base_model_name_or_path,\n", " return_dict=True,\n", " load_in_8bit=True,\n", " device_map=\"auto\",\n", ")\n", "tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)\n", "\n", "# Load the Lora model\n", "model = PeftModel.from_pretrained(model, peft_model_id)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "MDqJWba-tpnv", "outputId": 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3_parameter_efficient_finetuning/notebooks/load_lora_adapter.ipynb (5,061 lines of code) (raw):