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\u001b[36m0:00:00\u001b[0m\n","\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n","cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 17.0.0 which is incompatible.\n","gcsfs 2024.6.1 requires fsspec==2024.6.1, but you have fsspec 2024.5.0 which is incompatible.\n","google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\n","ibis-framework 8.0.0 requires pyarrow<16,>=2, but you have pyarrow 17.0.0 which is incompatible.\u001b[0m\u001b[31m\n","\u001b[0m"]}],"source":["!pip install -q git+https://github.com/huggingface/transformers.git\n","!pip install -q accelerate datasets peft bitsandbytes\n"]},{"cell_type":"code","source":["import transformers\n","import accelerate\n","import datasets\n","import peft\n","import bitsandbytes\n","\n","print(transformers.__version__)\n","print(accelerate.__version__)\n","print(datasets.__version__)\n","print(peft.__version__)\n","print(bitsandbytes.__version__)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KwR71snGDF55","executionInfo":{"status":"ok","timestamp":1722484188933,"user_tz":-330,"elapsed":10762,"user":{"displayName":"crackle","userId":"09698943465109415286"}},"outputId":"92317f3c-8056-4af9-a9b1-c6845402d606"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["4.44.0.dev0\n","0.32.1\n","2.20.0\n","0.12.0\n","0.43.3\n"]}]},{"cell_type":"code","source":["from huggingface_hub import notebook_login\n","\n","notebook_login()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["ef5b0328109c4a75a6f0d5b442ee2f34","5498c7eb1fc24d54a0ef0e5fac5158b5","64053fa557ae48dd8e615165b5ea6c7b","1b0b3cb25c1b4d2db509210feae6f695","dc9f726253c4477f8b3eb1ba748f0472","37069f98de484a7cb95f1864a6be2daa","fcc5770aa4774443aea9f99e0bf084b7","bfd57fa83afe429184b4130d409940ac","b9591aa7a117430e89a0fcdfd275b0e3","00b7a5c628ea479b9c1276aca4477360","3125d6ae5b57409f92ec9842e188b2c2","131aee04d12c42d99a5fa50edcd70cff","b1645b31ada245ac9bcaa165c51a126c","80274a83e0044050843784bc58c1197a","1ec2add9f1aa469dbae16d1147511b33","873ac1af1f4d483d9de111f05e14e978","4138f12c13fe4e679e7a06eb092fef09","d7b6247c7c8a45c2b9549012244b5a69","db149023409b4ce295afda6b9f0183f4","a3a185a6986049089c22e2e346270c1c","bb04da86de244296be34a1d65a9ca42c","cc09c8b5dcb049afbb778e935675dc9e","fedb45ba69684afb85ec7ede18de0185","b80318f12cea4ac88d1fa5732e7d057d","ee949c14e6734ec697e212b656574603","57bc4723ac0648a1b327ae0f7c224205","9f51d2e9016a422ca2873988909d3509","a49aba8a5f1047bd9193639f042d7cef","ba953679ed544782b380521fc624ef6d","cfbaebd0ad914b32ac6a662f9ef2c242","6662949cdacc47a7bc4a313ce2e3bd30","1a31cb5e952442889e6462063fa07deb"]},"id":"958nXhqgDF8U","executionInfo":{"status":"ok","timestamp":1722484753435,"user_tz":-330,"elapsed":499,"user":{"displayName":"crackle","userId":"09698943465109415286"}},"outputId":"d9d40149-b78a-49e6-893e-9165ee36297f"},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":["VBox(children=(HTML(value='
,\n"," 'query': '{\"en\": \"You are an invoice extraction tool and you are going to help me to extract the table information from the invoice data. Given the image, your task is to extract the table details and return them in the following JSON structure.\", \"tn\": \"how are you\"}',\n"," 'answer': '{\"table_number_1\": {\"Headers\": [\"S. No.\", \"Description Of Goods\", \"Quantity\", \"Unit\", \"Rate (RS)\", \"Net Value\", \"Value(RS)\", \"Remark\"], \"Row_Values\": [[\"1\", \"THREAD CONE COATS ASTRA 8120/TEX27/TKT100 3PLY(2000M) ROSE SHADOW\", \"50.00\", \"CONE\", \"44.150\", \"2207.500\", \"2207.500\", \"GST/TCS Extra As Applicable\"], [\"2\", \"THREAD CONE COATS SITAR 1436/TEX21/TKT060 2PLY(5000M) ROSE SHADOW\", \"10.00\", \"CON\", \"54.590\", \"545.900\", \"545.900\", \"GST/TCS Extra As Applicable\"]]}}'}"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["import random\n","\n","class MyDataCollator:\n"," def __init__(self, processor):\n"," self.processor = processor\n"," self.image_token_id = processor.tokenizer.additional_special_tokens_ids[\n"," processor.tokenizer.additional_special_tokens.index(\"\")\n"," ]\n","\n"," def __call__(self, examples):\n"," texts = []\n"," images = []\n"," for example in examples:\n"," image = example[\"image\"]\n"," question = example[\"query\"]\n"," answer = example[\"answer\"]\n"," messages = [\n"," {\n"," \"role\": \"user\",\n"," \"content\": [\n"," {\"type\": \"image\"},\n"," {\"type\": \"text\", \"text\": question}\n"," ]\n"," },\n"," {\n"," \"role\": \"assistant\",\n"," \"content\": [\n"," {\"type\": \"text\", \"text\": answer}\n"," ]\n"," }\n"," ]\n"," text = processor.apply_chat_template(messages, add_generation_prompt=False)\n"," texts.append(text.strip())\n"," images.append([image])\n","\n"," batch = processor(text=texts, images=images, return_tensors=\"pt\", padding=True)\n","\n"," labels = batch[\"input_ids\"].clone()\n"," labels[labels == processor.tokenizer.pad_token_id] = self.image_token_id\n"," batch[\"labels\"] = labels\n","\n"," return batch\n","\n","data_collator = MyDataCollator(processor)\n"],"metadata":{"id":"Hx73x8GDGHo2","executionInfo":{"status":"ok","timestamp":1722484874081,"user_tz":-330,"elapsed":510,"user":{"displayName":"crackle","userId":"09698943465109415286"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["from transformers import TrainingArguments, Trainer\n","\n","training_args = TrainingArguments(\n"," num_train_epochs=1,\n"," per_device_train_batch_size=1,\n"," per_device_eval_batch_size=1,\n"," gradient_accumulation_steps=8,\n"," warmup_steps=50,\n"," learning_rate=1e-4,\n"," weight_decay=0.01,\n"," logging_steps=25,\n"," output_dir=\"/content/drive/MyDrive/31-07-2024\",\n"," save_strategy=\"steps\",\n"," save_steps=250,\n"," save_total_limit=1,\n"," # evaluation_strategy=\"epoch\",\n"," fp16=False,\n"," push_to_hub_model_id=\"Paviraj5598/31072024_teting\",\n"," remove_unused_columns=False,\n"," report_to=\"none\",\n",")\n","\n","trainer = Trainer(\n"," model=model,\n"," args=training_args,\n"," data_collator=data_collator,\n"," train_dataset=train_dataset,\n"," # eval_dataset=eval_dataset, # You can also evaluate (loss) on the eval set, note that it will incur some additional GPU memory\n",")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8ZFTYRegGMJy","executionInfo":{"status":"ok","timestamp":1722485271479,"user_tz":-330,"elapsed":503,"user":{"displayName":"crackle","userId":"09698943465109415286"}},"outputId":"21e6b11b-d196-4283-d191-30dea4de5938"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/transformers/training_args.py:2026: FutureWarning: `--push_to_hub_model_id` is deprecated and will be removed in version 5 of 🤗 Transformers. Use `--hub_model_id` instead and pass the full repo name to this argument (in this case Paviraj5598/Paviraj5598/31072024_teting).\n"," warnings.warn(\n"]}]},{"cell_type":"code","source":["trainer.train()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":165},"id":"FvhMp4l4GRY7","executionInfo":{"status":"ok","timestamp":1722484985930,"user_tz":-330,"elapsed":108707,"user":{"displayName":"crackle","userId":"09698943465109415286"}},"outputId":"2621822b-003a-479e-d75f-3e6f24fd2421"},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":[""],"text/html":["\n","
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StepTraining Loss

"]},"metadata":{}},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/transformers/integrations/peft.py:397: FutureWarning: The `active_adapter` method is deprecated and will be removed in a future version.\n"," warnings.warn(\n"]},{"output_type":"execute_result","data":{"text/plain":["TrainOutput(global_step=8, training_loss=4.954251289367676, metrics={'train_runtime': 108.3264, 'train_samples_per_second': 0.646, 'train_steps_per_second': 0.074, 'total_flos': 1054307850247872.0, 'train_loss': 4.954251289367676, 'epoch': 0.9142857142857143})"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","source":["import torch\n","torch.cuda.empty_cache()"],"metadata":{"id":"4295TjDzGTI5","executionInfo":{"status":"ok","timestamp":1722485140517,"user_tz":-330,"elapsed":6,"user":{"displayName":"crackle","userId":"09698943465109415286"}}},"execution_count":19,"outputs":[]},{"cell_type":"code","source":["trainer.push_to_hub()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":304},"id":"AvqiMo_kGjS2","executionInfo":{"status":"error","timestamp":1722485288067,"user_tz":-330,"elapsed":513,"user":{"displayName":"crackle","userId":"09698943465109415286"}},"outputId":"6bc3b709-e286-4d2e-8da2-4239c082af30"},"execution_count":23,"outputs":[{"output_type":"error","ename":"HFValidationError","evalue":"Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'Paviraj5598/Paviraj5598/31072024_teting'. Use `repo_type` argument if needed.","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mHFValidationError\u001b[0m Traceback (most recent call last)","\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpush_to_hub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/trainer.py\u001b[0m in \u001b[0;36mpush_to_hub\u001b[0;34m(self, commit_message, blocking, token, **kwargs)\u001b[0m\n\u001b[1;32m 4318\u001b[0m \u001b[0;31m# In case the user calls this method with args.push_to_hub = False\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4319\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhub_model_id\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4320\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minit_hf_repo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtoken\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtoken\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4321\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4322\u001b[0m \u001b[0;31m# Needs to be executed on all processes for TPU training, but will only save on the processed determined by\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/trainer.py\u001b[0m in \u001b[0;36minit_hf_repo\u001b[0;34m(self, token)\u001b[0m\n\u001b[1;32m 4133\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4134\u001b[0m \u001b[0mtoken\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtoken\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtoken\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhub_token\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4135\u001b[0;31m \u001b[0mrepo_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_repo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrepo_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtoken\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtoken\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprivate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhub_private_repo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4136\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhub_model_id\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrepo_url\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrepo_id\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4137\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpush_in_progress\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36m_inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 104\u001b[0m ):\n\u001b[1;32m 105\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0marg_name\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"repo_id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"from_id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"to_id\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 106\u001b[0;31m \u001b[0mvalidate_repo_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg_value\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 107\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0marg_name\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"token\"\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0marg_value\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36mvalidate_repo_id\u001b[0;34m(repo_id)\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 153\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrepo_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 154\u001b[0;31m raise HFValidationError(\n\u001b[0m\u001b[1;32m 155\u001b[0m \u001b[0;34m\"Repo id must be in the form 'repo_name' or 'namespace/repo_name':\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 156\u001b[0m \u001b[0;34mf\" '{repo_id}'. Use `repo_type` argument if needed.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mHFValidationError\u001b[0m: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'Paviraj5598/Paviraj5598/31072024_teting'. Use `repo_type` argument if needed."]}]},{"cell_type":"markdown","source":["# **Test**"],"metadata":{"id":"yTVwHeqTHda1"}},{"cell_type":"code","source":["import requests\n","import torch\n","from PIL import Image\n","from io import BytesIO\n","\n","from transformers import AutoProcessor, AutoModelForVision2Seq\n"],"metadata":{"id":"FLA0ZQ2-GjVS","executionInfo":{"status":"ok","timestamp":1722485175362,"user_tz":-330,"elapsed":443,"user":{"displayName":"crackle","userId":"09698943465109415286"}}},"execution_count":20,"outputs":[]},{"cell_type":"code","source":["from transformers import BitsAndBytesConfig\n","\n","quantization_config = BitsAndBytesConfig(\n"," load_in_4bit=True,\n"," bnb_4bit_quant_type=\"nf4\",\n"," bnb_4bit_use_double_quant=True,\n"," bnb_4bit_compute_dtype=torch.float16\n",")\n","model = AutoModelForVision2Seq.from_pretrained(\n"," \"/content/drive/MyDrive/31-07-2024/checkpoint-8y\",\n"," torch_dtype=torch.float16,\n"," quantization_config=quantization_config,\n",")\n","processor = AutoProcessor.from_pretrained(\"/content/drive/MyDrive/31-07-2024/checkpoint-8\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":530},"id":"yWRpE7AvGjXa","executionInfo":{"status":"error","timestamp":1722485209464,"user_tz":-330,"elapsed":21,"user":{"displayName":"crackle","userId":"09698943465109415286"}},"outputId":"62132f79-88d2-425d-8885-df84dc643328"},"execution_count":21,"outputs":[{"output_type":"error","ename":"OSError","evalue":"Incorrect path_or_model_id: '/content/drive/MyDrive/31-07-2024/checkpoint-8y'. Please provide either the path to a local folder or the repo_id of a model on the Hub.","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mHFValidationError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py\u001b[0m in \u001b[0;36mcached_file\u001b[0;34m(path_or_repo_id, filename, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, subfolder, repo_type, user_agent, _raise_exceptions_for_gated_repo, _raise_exceptions_for_missing_entries, _raise_exceptions_for_connection_errors, _commit_hash, **deprecated_kwargs)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[0;31m# Load from URL or cache if already cached\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m resolved_file = hf_hub_download(\n\u001b[0m\u001b[1;32m 403\u001b[0m \u001b[0mpath_or_repo_id\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36m_inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0marg_name\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"repo_id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"from_id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"to_id\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 106\u001b[0;31m \u001b[0mvalidate_repo_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg_value\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 107\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36mvalidate_repo_id\u001b[0;34m(repo_id)\u001b[0m\n\u001b[1;32m 153\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrepo_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 154\u001b[0;31m raise HFValidationError(\n\u001b[0m\u001b[1;32m 155\u001b[0m \u001b[0;34m\"Repo id must be in the form 'repo_name' or 'namespace/repo_name':\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mHFValidationError\u001b[0m: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/content/drive/MyDrive/31-07-2024/checkpoint-8y'. Use `repo_type` argument if needed.","\nThe above exception was the direct cause of the following exception:\n","\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)","\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mbnb_4bit_compute_dtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat16\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m )\n\u001b[0;32m----> 9\u001b[0;31m model = AutoModelForVision2Seq.from_pretrained(\n\u001b[0m\u001b[1;32m 10\u001b[0m \u001b[0;34m\"/content/drive/MyDrive/31-07-2024/checkpoint-8y\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0mtorch_dtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat16\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py\u001b[0m in \u001b[0;36mfrom_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, *model_args, **kwargs)\u001b[0m\n\u001b[1;32m 483\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPretrainedConfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 484\u001b[0m \u001b[0;31m# We make a call to the config file first (which may be absent) to get the commit hash as soon as possible\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 485\u001b[0;31m resolved_config_file = cached_file(\n\u001b[0m\u001b[1;32m 486\u001b[0m \u001b[0mpretrained_model_name_or_path\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 487\u001b[0m \u001b[0mCONFIG_NAME\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py\u001b[0m in \u001b[0;36mcached_file\u001b[0;34m(path_or_repo_id, filename, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, subfolder, repo_type, user_agent, _raise_exceptions_for_gated_repo, _raise_exceptions_for_missing_entries, _raise_exceptions_for_connection_errors, _commit_hash, **deprecated_kwargs)\u001b[0m\n\u001b[1;32m 464\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mEnvironmentError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"There was a specific connection error when trying to load {path_or_repo_id}:\\n{err}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mHFValidationError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 466\u001b[0;31m raise EnvironmentError(\n\u001b[0m\u001b[1;32m 467\u001b[0m \u001b[0;34mf\"Incorrect path_or_model_id: '{path_or_repo_id}'. Please provide either the path to a local folder or the repo_id of a model on the Hub.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 468\u001b[0m ) from e\n","\u001b[0;31mOSError\u001b[0m: Incorrect path_or_model_id: '/content/drive/MyDrive/31-07-2024/checkpoint-8y'. Please provide either the path to a local folder or the repo_id of a model on the Hub."]}]},{"cell_type":"code","source":[],"metadata":{"id":"8l18uPkAHnYI"},"execution_count":null,"outputs":[]}]}