Upload 5 files

config.json

@@ -0,0 +1,4 @@
+{
+    "extractive_id": "datarpit/distilbert-base-uncased-finetuned-natural-questions",
+    "generative_id": "MaRiOrOsSi/t5-base-finetuned-question-answering"
+}

hybrid_config.py

@@ -0,0 +1,12 @@
+from transformers import PretrainedConfig
+
+class HybridQAConfig(PretrainedConfig):
+    def __init__(
+        self, 
+        extractive_id=None,
+        generative_id = None,
+        **kwargs
+    ):
+        self.extractive_id = extractive_id
+        self.generative_id = generative_id
+        super().__init__(**kwargs)

hybrid_model.py

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+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, AutoModelForQuestionAnswering
+from transformers import pipeline
+
+from huggingface_hub import PyTorchModelHubMixin
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+from hybrid_config import HybridQAConfig
+        
+class HybridQAModel(nn.Module, PyTorchModelHubMixin):
+    config_class = HybridQAConfig
+    def __init__(self, config):
+        super().__init__()
+        self.config = config
+        self.load_models(config.extractive_id, config.generative_id)
+
+    def load_models(self, extractive_id, generative_id):
+        self.tokenizer_extractive = AutoTokenizer.from_pretrained(extractive_id)
+        self.tokenizer_generative = AutoTokenizer.from_pretrained(generative_id)
+
+        self.model_extractive = AutoModelForQuestionAnswering.from_pretrained(extractive_id)
+        self.model_generative = AutoModelForSeq2SeqLM.from_pretrained(generative_id)
+    
+    def predict(self, question, context):
+        result_gen, conf_gen = self.infer_generative(self.model_generative, self.tokenizer_generative, question)
+        result_ext, conf_ext = self.infer_extractive(self.model_extractive, self.tokenizer_extractive, question, context)
+
+        # print("Generative result: ",result_gen)
+        # print("Confidence: ", conf_gen)
+        # print("Extractive result: ", result_ext)
+        # print("Confidence: ", conf_ext)
+
+        if conf_gen > conf_ext:
+            return {'guess':result_gen, 'confidence':conf_gen}
+        else:
+            return {'guess':result_ext, 'confidence':conf_ext}
+        
+    def infer_generative(self, model, tokenizer, input_text, **generate_kwargs):
+        max_input_length = min(tokenizer.model_max_length, model.config.max_length)
+        input_ids = tokenizer.encode(input_text, return_tensors="pt", max_length=max_input_length)
+
+        with torch.no_grad():
+            output_ids = model.generate(input_ids, **generate_kwargs)
+        decoded_output = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+
+        output_probs = F.softmax(output_ids.float(), dim=-1).squeeze(0)
+        entropy = -(output_probs * torch.log(output_probs)).sum(dim=-1)
+        confidence_score = 1 - entropy.item()
+            
+        model.save_pretrained("./base_models")
+        return decoded_output, confidence_score
+    
+    def infer_extractive(self, model, tokenizer, question, context):
+        qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer)
+        result = qa_pipeline(question=question, context=context)
+        confidence_score = result['score']
+        
+        model.save_pretrained("./base_models")
+        return result['answer'], confidence_score

hybrid_pipe.py

@@ -0,0 +1,11 @@
+from hybrid_model import HybridQAModel
+from transformers import QuestionAnsweringPipeline
+
+class HybridQAPipeline(QuestionAnsweringPipeline):
+    def __init__(self, model=None, tokenizer=None, **kwargs):
+        self.config = kwargs['custom']
+        super().__init__(model=model, tokenizer=tokenizer, **kwargs)
+        self.model = HybridQAModel(self.config)
+
+    def __call__(self, question, context):
+        return self.model.predict(question, context)

hybrid_test.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
+   "source": [
+    "from hybrid_pipe import HybridQAPipeline\n",
+    "from hybrid_config import HybridQAConfig\n",
+    "\n",
+    "from transformers import pipeline\n",
+    "from transformers.pipelines import PIPELINE_REGISTRY\n",
+    "\n",
+    "from transformers import AutoModelForQuestionAnswering, TFAutoModelForQuestionAnswering\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Specify base models here\n",
+    "extractive_id = \"datarpit/distilbert-base-uncased-finetuned-natural-questions\"\n",
+    "generative_id = \"MaRiOrOsSi/t5-base-finetuned-question-answering\"\n",
+    "\n",
+    "# Create config object with specified base models\n",
+    "configs = HybridQAConfig(extractive_id, generative_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Register new pipe\n",
+    "PIPELINE_REGISTRY.register_pipeline(\n",
+    "    \"hybrid-qa\",\n",
+    "    pipeline_class=HybridQAPipeline,\n",
+    "    pt_model=AutoModelForQuestionAnswering,\n",
+    "    tf_model=TFAutoModelForQuestionAnswering\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "You are using the default legacy behaviour of the <class 'transformers.models.t5.tokenization_t5.T5Tokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create pipe instance\n",
+    "# Note: the model specified here does not matter, we just need to\n",
+    "# pass something valid to satisfy the pipeline class=\n",
+    "hybrid_pipe = pipeline(\"hybrid-qa\", model='datarpit/distilbert-base-uncased-finetuned-natural-questions', custom=configs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=True` to explicitly truncate examples to max length. Defaulting to 'longest_first' truncation strategy. If you encode pairs of sequences (GLUE-style) with the tokenizer you can select this strategy more precisely by providing a specific strategy to `truncation`.\n",
+      "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/generation/utils.py:1141: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'guess': 'Oslo', 'confidence': 2.0940446777842694e-14}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Inference testing!\n",
+    "hybrid_pipe(question=\"What is the capital of Norway?\",context=\"The capital of Norway is Oslo\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "model.safetensors:  41%|████      | 470M/1.16G [06:00<08:07, 1.41MB/s]  '(MaxRetryError(\"HTTPSConnectionPool(host='hf-hub-lfs-us-east-1.s3-accelerate.amazonaws.com', port=443): Max retries exceeded with url: /repos/0d/e2/0de219f12ebcdacafcdad4cc4bf5bc0b5ddca94b3c1a2a1510fd949d527db9ef/9c1c5deba1838dd92e1346a36f851d2977df1af0d13ef2b2186fd04096100acd?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQFN2FTF47%2F20240511%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240511T024734Z&X-Amz-Expires=86400&X-Amz-Signature=2a3e132d0e491d90ab26f55c110424535dc1499f649017b4a1ecc6e2d12c05b8&X-Amz-SignedHeaders=host&partNumber=30&uploadId=yEGuea21Be7KZZmfmmeZ8aFDZUKUkoLkU8XJsWiw_fa_yMKwhCEhKt86R517E8KKMkJtIP4yv24.YMn6CdTVk5UjoJRD0fT.6DnCcy6E6o9tuqpnDIKFZ4hfFvlsJh6k&x-id=UploadPart (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:2427)')))\"), '(Request ID: ae95608d-b892-43dd-a438-19fa209b8499)')' thrown while requesting PUT https://hf-hub-lfs-us-east-1.s3-accelerate.amazonaws.com/repos/0d/e2/0de219f12ebcdacafcdad4cc4bf5bc0b5ddca94b3c1a2a1510fd949d527db9ef/9c1c5deba1838dd92e1346a36f851d2977df1af0d13ef2b2186fd04096100acd?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQFN2FTF47%2F20240511%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240511T024734Z&X-Amz-Expires=86400&X-Amz-Signature=2a3e132d0e491d90ab26f55c110424535dc1499f649017b4a1ecc6e2d12c05b8&X-Amz-SignedHeaders=host&partNumber=30&uploadId=yEGuea21Be7KZZmfmmeZ8aFDZUKUkoLkU8XJsWiw_fa_yMKwhCEhKt86R517E8KKMkJtIP4yv24.YMn6CdTVk5UjoJRD0fT.6DnCcy6E6o9tuqpnDIKFZ4hfFvlsJh6k&x-id=UploadPart\n",
+      "Retrying in 1s [Retry 1/5].\n",
+      "model.safetensors:  82%|████████▏ | 944M/1.16G [14:58<00:08, 25.2MB/s]    "
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Pushing to hub\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mhybrid_pipe\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpush_to_hub\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhybrid-qa\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/utils/hub.py:894\u001b[0m, in \u001b[0;36mPushToHubMixin.push_to_hub\u001b[0;34m(self, repo_id, use_temp_dir, commit_message, private, token, max_shard_size, create_pr, safe_serialization, revision, commit_description, tags, **deprecated_kwargs)\u001b[0m\n\u001b[1;32m    891\u001b[0m \u001b[38;5;66;03m# Update model card if needed:\u001b[39;00m\n\u001b[1;32m    892\u001b[0m model_card\u001b[38;5;241m.\u001b[39msave(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(work_dir, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mREADME.md\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[0;32m--> 894\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_upload_modified_files\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    895\u001b[0m \u001b[43m    \u001b[49m\u001b[43mwork_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    896\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    897\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfiles_timestamps\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    898\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcommit_message\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_message\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    899\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    900\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcreate_pr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcreate_pr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    901\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    902\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcommit_description\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_description\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    903\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/utils/hub.py:758\u001b[0m, in \u001b[0;36mPushToHubMixin._upload_modified_files\u001b[0;34m(self, working_dir, repo_id, files_timestamps, commit_message, token, create_pr, revision, commit_description)\u001b[0m\n\u001b[1;32m    755\u001b[0m     create_branch(repo_id\u001b[38;5;241m=\u001b[39mrepo_id, branch\u001b[38;5;241m=\u001b[39mrevision, token\u001b[38;5;241m=\u001b[39mtoken, exist_ok\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m    757\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUploading the following files to \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mrepo_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(modified_files)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 758\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcreate_commit\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    759\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    760\u001b[0m \u001b[43m    \u001b[49m\u001b[43moperations\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moperations\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    761\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcommit_message\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_message\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    762\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcommit_description\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_description\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    763\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    764\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcreate_pr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcreate_pr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    765\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    766\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py:119\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    116\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m    117\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[0;32m--> 119\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/hf_api.py:1230\u001b[0m, in \u001b[0;36mfuture_compatible.<locals>._inner\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1227\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun_as_future(fn, \u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m   1229\u001b[0m \u001b[38;5;66;03m# Otherwise, call the function normally\u001b[39;00m\n\u001b[0;32m-> 1230\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/hf_api.py:3770\u001b[0m, in \u001b[0;36mHfApi.create_commit\u001b[0;34m(self, repo_id, operations, commit_message, commit_description, token, repo_type, revision, create_pr, num_threads, parent_commit, run_as_future)\u001b[0m\n\u001b[1;32m   3767\u001b[0m \u001b[38;5;66;03m# If updating twice the same file or update then delete a file in a single commit\u001b[39;00m\n\u001b[1;32m   3768\u001b[0m _warn_on_overwriting_operations(operations)\n\u001b[0;32m-> 3770\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpreupload_lfs_files\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   3771\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3772\u001b[0m \u001b[43m    \u001b[49m\u001b[43madditions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43madditions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3773\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3774\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3775\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munquoted_revision\u001b[49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# first-class methods take unquoted revision\u001b[39;49;00m\n\u001b[1;32m   3776\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcreate_pr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcreate_pr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3777\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnum_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_threads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3778\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfree_memory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# do not remove `CommitOperationAdd.path_or_fileobj` on LFS files for \"normal\" users\u001b[39;49;00m\n\u001b[1;32m   3779\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3780\u001b[0m files_to_copy \u001b[38;5;241m=\u001b[39m _fetch_files_to_copy(\n\u001b[1;32m   3781\u001b[0m     copies\u001b[38;5;241m=\u001b[39mcopies,\n\u001b[1;32m   3782\u001b[0m     repo_type\u001b[38;5;241m=\u001b[39mrepo_type,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   3786\u001b[0m     endpoint\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mendpoint,\n\u001b[1;32m   3787\u001b[0m )\n\u001b[1;32m   3788\u001b[0m commit_payload \u001b[38;5;241m=\u001b[39m _prepare_commit_payload(\n\u001b[1;32m   3789\u001b[0m     operations\u001b[38;5;241m=\u001b[39moperations,\n\u001b[1;32m   3790\u001b[0m     files_to_copy\u001b[38;5;241m=\u001b[39mfiles_to_copy,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   3793\u001b[0m     parent_commit\u001b[38;5;241m=\u001b[39mparent_commit,\n\u001b[1;32m   3794\u001b[0m )\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/hf_api.py:4271\u001b[0m, in \u001b[0;36mHfApi.preupload_lfs_files\u001b[0;34m(self, repo_id, additions, token, repo_type, revision, create_pr, num_threads, free_memory, gitignore_content)\u001b[0m\n\u001b[1;32m   4265\u001b[0m     logger\u001b[38;5;241m.\u001b[39minfo(\n\u001b[1;32m   4266\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSkipped upload for \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(new_lfs_additions)\u001b[38;5;250m \u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;250m \u001b[39m\u001b[38;5;28mlen\u001b[39m(new_lfs_additions_to_upload)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m LFS file(s) \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   4267\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(ignored by gitignore file).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   4268\u001b[0m     )\n\u001b[1;32m   4270\u001b[0m \u001b[38;5;66;03m# Upload new LFS files\u001b[39;00m\n\u001b[0;32m-> 4271\u001b[0m \u001b[43m_upload_lfs_files\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   4272\u001b[0m \u001b[43m    \u001b[49m\u001b[43madditions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_lfs_additions_to_upload\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4273\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4274\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4275\u001b[0m \u001b[43m    \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4276\u001b[0m \u001b[43m    \u001b[49m\u001b[43mendpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mendpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4277\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnum_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_threads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4278\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;66;43;03m# If `create_pr`, we don't want to check user permission on the revision as users with read permission\u001b[39;49;00m\n\u001b[1;32m   4279\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;66;43;03m# should still be able to create PRs even if they don't have write permission on the target branch of the\u001b[39;49;00m\n\u001b[1;32m   4280\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;66;43;03m# PR (i.e. `revision`).\u001b[39;49;00m\n\u001b[1;32m   4281\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mcreate_pr\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m   4282\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   4283\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m addition \u001b[38;5;129;01min\u001b[39;00m new_lfs_additions_to_upload:\n\u001b[1;32m   4284\u001b[0m     addition\u001b[38;5;241m.\u001b[39m_is_uploaded \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py:119\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    116\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m    117\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[0;32m--> 119\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/_commit_api.py:412\u001b[0m, in \u001b[0;36m_upload_lfs_files\u001b[0;34m(additions, repo_type, repo_id, headers, endpoint, num_threads, revision)\u001b[0m\n\u001b[1;32m    410\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(filtered_actions) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m    411\u001b[0m     logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUploading 1 LFS file to the Hub\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 412\u001b[0m     \u001b[43m_wrapped_lfs_upload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfiltered_actions\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    413\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    414\u001b[0m     logger\u001b[38;5;241m.\u001b[39mdebug(\n\u001b[1;32m    415\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUploading \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(filtered_actions)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m LFS files to the Hub using up to \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnum_threads\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m threads concurrently\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    416\u001b[0m     )\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/_commit_api.py:402\u001b[0m, in \u001b[0;36m_upload_lfs_files.<locals>._wrapped_lfs_upload\u001b[0;34m(batch_action)\u001b[0m\n\u001b[1;32m    400\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    401\u001b[0m     operation \u001b[38;5;241m=\u001b[39m oid2addop[batch_action[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moid\u001b[39m\u001b[38;5;124m\"\u001b[39m]]\n\u001b[0;32m--> 402\u001b[0m     \u001b[43mlfs_upload\u001b[49m\u001b[43m(\u001b[49m\u001b[43moperation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moperation\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlfs_batch_action\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbatch_action\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mendpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mendpoint\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    403\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m    404\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError while uploading \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00moperation\u001b[38;5;241m.\u001b[39mpath_in_repo\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m to the Hub.\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mexc\u001b[39;00m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/lfs.py:243\u001b[0m, in \u001b[0;36mlfs_upload\u001b[0;34m(operation, lfs_batch_action, token, headers, endpoint)\u001b[0m\n\u001b[1;32m    239\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mValueError\u001b[39;00m, \u001b[38;5;167;01mTypeError\u001b[39;00m):\n\u001b[1;32m    240\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    241\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMalformed response from LFS batch endpoint: `chunk_size` should be an integer. Got \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mchunk_size\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    242\u001b[0m         )\n\u001b[0;32m--> 243\u001b[0m     \u001b[43m_upload_multi_part\u001b[49m\u001b[43m(\u001b[49m\u001b[43moperation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moperation\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheader\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheader\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mchunk_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunk_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mupload_url\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mupload_url\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    244\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    245\u001b[0m     _upload_single_part(operation\u001b[38;5;241m=\u001b[39moperation, upload_url\u001b[38;5;241m=\u001b[39mupload_url)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/lfs.py:341\u001b[0m, in \u001b[0;36m_upload_multi_part\u001b[0;34m(operation, header, chunk_size, upload_url)\u001b[0m\n\u001b[1;32m    332\u001b[0m     warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m    333\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhf_transfer is enabled but does not support uploading from bytes or BinaryIO, falling back to regular\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    334\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m upload\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    335\u001b[0m     )\n\u001b[1;32m    336\u001b[0m     use_hf_transfer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m    338\u001b[0m response_headers \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    339\u001b[0m     _upload_parts_hf_transfer(operation\u001b[38;5;241m=\u001b[39moperation, sorted_parts_urls\u001b[38;5;241m=\u001b[39msorted_parts_urls, chunk_size\u001b[38;5;241m=\u001b[39mchunk_size)\n\u001b[1;32m    340\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m use_hf_transfer\n\u001b[0;32m--> 341\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m \u001b[43m_upload_parts_iteratively\u001b[49m\u001b[43m(\u001b[49m\u001b[43moperation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moperation\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msorted_parts_urls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msorted_parts_urls\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mchunk_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunk_size\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    342\u001b[0m )\n\u001b[1;32m    344\u001b[0m \u001b[38;5;66;03m# 3. Send completion request\u001b[39;00m\n\u001b[1;32m    345\u001b[0m completion_res \u001b[38;5;241m=\u001b[39m get_session()\u001b[38;5;241m.\u001b[39mpost(\n\u001b[1;32m    346\u001b[0m     upload_url,\n\u001b[1;32m    347\u001b[0m     json\u001b[38;5;241m=\u001b[39m_get_completion_payload(response_headers, operation\u001b[38;5;241m.\u001b[39mupload_info\u001b[38;5;241m.\u001b[39msha256\u001b[38;5;241m.\u001b[39mhex()),\n\u001b[1;32m    348\u001b[0m     headers\u001b[38;5;241m=\u001b[39mLFS_HEADERS,\n\u001b[1;32m    349\u001b[0m )\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/lfs.py:398\u001b[0m, in \u001b[0;36m_upload_parts_iteratively\u001b[0;34m(operation, sorted_parts_urls, chunk_size)\u001b[0m\n\u001b[1;32m    391\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m part_idx, part_upload_url \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(sorted_parts_urls):\n\u001b[1;32m    392\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m SliceFileObj(\n\u001b[1;32m    393\u001b[0m         fileobj,\n\u001b[1;32m    394\u001b[0m         seek_from\u001b[38;5;241m=\u001b[39mchunk_size \u001b[38;5;241m*\u001b[39m part_idx,\n\u001b[1;32m    395\u001b[0m         read_limit\u001b[38;5;241m=\u001b[39mchunk_size,\n\u001b[1;32m    396\u001b[0m     ) \u001b[38;5;28;01mas\u001b[39;00m fileobj_slice:\n\u001b[1;32m    397\u001b[0m         \u001b[38;5;66;03m# S3 might raise a transient 500 error -> let's retry if that happens\u001b[39;00m\n\u001b[0;32m--> 398\u001b[0m         part_upload_res \u001b[38;5;241m=\u001b[39m \u001b[43mhttp_backoff\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    399\u001b[0m \u001b[43m            \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mPUT\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpart_upload_url\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfileobj_slice\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretry_on_status_codes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m500\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m502\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m503\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m504\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    400\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    401\u001b[0m         hf_raise_for_status(part_upload_res)\n\u001b[1;32m    402\u001b[0m         headers\u001b[38;5;241m.\u001b[39mappend(part_upload_res\u001b[38;5;241m.\u001b[39mheaders)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/utils/_http.py:282\u001b[0m, in \u001b[0;36mhttp_backoff\u001b[0;34m(method, url, max_retries, base_wait_time, max_wait_time, retry_on_exceptions, retry_on_status_codes, **kwargs)\u001b[0m\n\u001b[1;32m    279\u001b[0m     kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdata\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mseek(io_obj_initial_pos)\n\u001b[1;32m    281\u001b[0m \u001b[38;5;66;03m# Perform request and return if status_code is not in the retry list.\u001b[39;00m\n\u001b[0;32m--> 282\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    283\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m response\u001b[38;5;241m.\u001b[39mstatus_code \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m retry_on_status_codes:\n\u001b[1;32m    284\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m response\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/requests/sessions.py:589\u001b[0m, in \u001b[0;36mSession.request\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m    584\u001b[0m send_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m    585\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m\"\u001b[39m: timeout,\n\u001b[1;32m    586\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallow_redirects\u001b[39m\u001b[38;5;124m\"\u001b[39m: allow_redirects,\n\u001b[1;32m    587\u001b[0m }\n\u001b[1;32m    588\u001b[0m send_kwargs\u001b[38;5;241m.\u001b[39mupdate(settings)\n\u001b[0;32m--> 589\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprep\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msend_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    591\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/requests/sessions.py:703\u001b[0m, in \u001b[0;36mSession.send\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m    700\u001b[0m start \u001b[38;5;241m=\u001b[39m preferred_clock()\n\u001b[1;32m    702\u001b[0m \u001b[38;5;66;03m# Send the request\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43madapter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    705\u001b[0m \u001b[38;5;66;03m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[1;32m    706\u001b[0m elapsed \u001b[38;5;241m=\u001b[39m preferred_clock() \u001b[38;5;241m-\u001b[39m start\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/huggingface_hub/utils/_http.py:68\u001b[0m, in \u001b[0;36mUniqueRequestIdAdapter.send\u001b[0;34m(self, request, *args, **kwargs)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Catch any RequestException to append request id to the error message for debugging.\"\"\"\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 68\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     69\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m requests\u001b[38;5;241m.\u001b[39mRequestException \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m     70\u001b[0m     request_id \u001b[38;5;241m=\u001b[39m request\u001b[38;5;241m.\u001b[39mheaders\u001b[38;5;241m.\u001b[39mget(X_AMZN_TRACE_ID)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/requests/adapters.py:486\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m    483\u001b[0m     timeout \u001b[38;5;241m=\u001b[39m TimeoutSauce(connect\u001b[38;5;241m=\u001b[39mtimeout, read\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m    485\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 486\u001b[0m     resp \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murlopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    487\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    488\u001b[0m \u001b[43m        \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    489\u001b[0m \u001b[43m        \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    490\u001b[0m \u001b[43m        \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    491\u001b[0m \u001b[43m        \u001b[49m\u001b[43mredirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    492\u001b[0m \u001b[43m        \u001b[49m\u001b[43massert_same_host\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    493\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    494\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    495\u001b[0m \u001b[43m        \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    496\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    497\u001b[0m \u001b[43m        \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    498\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    500\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (ProtocolError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m    501\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m(err, request\u001b[38;5;241m=\u001b[39mrequest)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/urllib3/connectionpool.py:790\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m    787\u001b[0m response_conn \u001b[38;5;241m=\u001b[39m conn \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m release_conn \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    789\u001b[0m \u001b[38;5;66;03m# Make the request on the HTTPConnection object\u001b[39;00m\n\u001b[0;32m--> 790\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    791\u001b[0m \u001b[43m    \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    792\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    793\u001b[0m \u001b[43m    \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    794\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    795\u001b[0m \u001b[43m    \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    796\u001b[0m \u001b[43m    \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    797\u001b[0m \u001b[43m    \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    798\u001b[0m \u001b[43m    \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    799\u001b[0m \u001b[43m    \u001b[49m\u001b[43mresponse_conn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresponse_conn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    800\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpreload_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    801\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    802\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mresponse_kw\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    803\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    805\u001b[0m \u001b[38;5;66;03m# Everything went great!\u001b[39;00m\n\u001b[1;32m    806\u001b[0m clean_exit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/urllib3/connectionpool.py:536\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m    534\u001b[0m \u001b[38;5;66;03m# Receive the response from the server\u001b[39;00m\n\u001b[1;32m    535\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 536\u001b[0m     response \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    537\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (BaseSSLError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    538\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_raise_timeout(err\u001b[38;5;241m=\u001b[39me, url\u001b[38;5;241m=\u001b[39murl, timeout_value\u001b[38;5;241m=\u001b[39mread_timeout)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/urllib3/connection.py:461\u001b[0m, in \u001b[0;36mHTTPConnection.getresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    458\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mresponse\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m HTTPResponse\n\u001b[1;32m    460\u001b[0m \u001b[38;5;66;03m# Get the response from http.client.HTTPConnection\u001b[39;00m\n\u001b[0;32m--> 461\u001b[0m httplib_response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    463\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    464\u001b[0m     assert_header_parsing(httplib_response\u001b[38;5;241m.\u001b[39mmsg)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py:1386\u001b[0m, in \u001b[0;36mHTTPConnection.getresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1384\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1385\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1386\u001b[0m         \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbegin\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1387\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m:\n\u001b[1;32m   1388\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclose()\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py:325\u001b[0m, in \u001b[0;36mHTTPResponse.begin\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    323\u001b[0m \u001b[38;5;66;03m# read until we get a non-100 response\u001b[39;00m\n\u001b[1;32m    324\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 325\u001b[0m     version, status, reason \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    326\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m status \u001b[38;5;241m!=\u001b[39m CONTINUE:\n\u001b[1;32m    327\u001b[0m         \u001b[38;5;28;01mbreak\u001b[39;00m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py:286\u001b[0m, in \u001b[0;36mHTTPResponse._read_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    285\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_read_status\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 286\u001b[0m     line \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfp\u001b[38;5;241m.\u001b[39mreadline(_MAXLINE \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m), \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124miso-8859-1\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    287\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(line) \u001b[38;5;241m>\u001b[39m _MAXLINE:\n\u001b[1;32m    288\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m LineTooLong(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstatus line\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/socket.py:706\u001b[0m, in \u001b[0;36mSocketIO.readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    704\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m    705\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 706\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrecv_into\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    707\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m timeout:\n\u001b[1;32m    708\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_timeout_occurred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/ssl.py:1315\u001b[0m, in \u001b[0;36mSSLSocket.recv_into\u001b[0;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[1;32m   1311\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m flags \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m   1312\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m   1313\u001b[0m           \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnon-zero flags not allowed in calls to recv_into() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m   1314\u001b[0m           \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)\n\u001b[0;32m-> 1315\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnbytes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1316\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1317\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mrecv_into(buffer, nbytes, flags)\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/ssl.py:1167\u001b[0m, in \u001b[0;36mSSLSocket.read\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m   1165\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1166\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m buffer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1167\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sslobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1168\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1169\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sslobj\u001b[38;5;241m.\u001b[39mread(\u001b[38;5;28mlen\u001b[39m)\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "# Pushing to hub\n",
+    "hybrid_pipe.push_to_hub(\"hybrid-qa\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "Could not load model tkempto1/hybrid-qa with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForQuestionAnswering'>, <class 'transformers.models.auto.modeling_tf_auto.TFAutoModelForQuestionAnswering'>). See the original errors:\n\nwhile loading with AutoModelForQuestionAnswering, an error is thrown:\nTraceback (most recent call last):\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/base.py\", line 283, in infer_framework_load_model\n    model = model_class.from_pretrained(model, **kwargs)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 563, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3471, in from_pretrained\n    raise ValueError(\nValueError: Incompatible safetensors file. File metadata is not ['pt', 'tf', 'flax', 'mlx'] but None\n\nwhile loading with TFAutoModelForQuestionAnswering, an error is thrown:\nTraceback (most recent call last):\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/base.py\", line 283, in infer_framework_load_model\n    model = model_class.from_pretrained(model, **kwargs)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 566, in from_pretrained\n    raise ValueError(\nValueError: Unrecognized configuration class <class 'transformers.models.mpt.configuration_mpt.MptConfig'> for this kind of AutoModel: TFAutoModelForQuestionAnswering.\nModel type should be one of AlbertConfig, BertConfig, CamembertConfig, ConvBertConfig, DebertaConfig, DebertaV2Config, DistilBertConfig, ElectraConfig, FlaubertConfig, FunnelConfig, GPTJConfig, LayoutLMv3Config, LongformerConfig, MobileBertConfig, MPNetConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoFormerConfig, XLMConfig, XLMRobertaConfig, XLNetConfig.\n\n\n",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[8], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Importing from remote\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m imported_pipe \u001b[38;5;241m=\u001b[39m \u001b[43mpipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtkempto1/hybrid-qa\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrust_remote_code\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/__init__.py:906\u001b[0m, in \u001b[0;36mpipeline\u001b[0;34m(task, model, config, tokenizer, feature_extractor, image_processor, framework, revision, use_fast, token, device, device_map, torch_dtype, trust_remote_code, model_kwargs, pipeline_class, **kwargs)\u001b[0m\n\u001b[1;32m    904\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(model, \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m framework \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    905\u001b[0m     model_classes \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtf\u001b[39m\u001b[38;5;124m\"\u001b[39m: targeted_task[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtf\u001b[39m\u001b[38;5;124m\"\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpt\u001b[39m\u001b[38;5;124m\"\u001b[39m: targeted_task[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpt\u001b[39m\u001b[38;5;124m\"\u001b[39m]}\n\u001b[0;32m--> 906\u001b[0m     framework, model \u001b[38;5;241m=\u001b[39m \u001b[43minfer_framework_load_model\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    907\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    908\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmodel_classes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_classes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    909\u001b[0m \u001b[43m        \u001b[49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    910\u001b[0m \u001b[43m        \u001b[49m\u001b[43mframework\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mframework\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    911\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    912\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mhub_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    913\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmodel_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    914\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    916\u001b[0m model_config \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mconfig\n\u001b[1;32m    917\u001b[0m hub_kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_commit_hash\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mconfig\u001b[38;5;241m.\u001b[39m_commit_hash\n",
+      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/base.py:296\u001b[0m, in \u001b[0;36minfer_framework_load_model\u001b[0;34m(model, config, model_classes, task, framework, **model_kwargs)\u001b[0m\n\u001b[1;32m    294\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m class_name, trace \u001b[38;5;129;01min\u001b[39;00m all_traceback\u001b[38;5;241m.\u001b[39mitems():\n\u001b[1;32m    295\u001b[0m             error \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwhile loading with \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mclass_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, an error is thrown:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mtrace\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m--> 296\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    297\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCould not load model \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m with any of the following classes: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mclass_tuple\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. See the original errors:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00merror\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    298\u001b[0m         )\n\u001b[1;32m    300\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m framework \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    301\u001b[0m     framework \u001b[38;5;241m=\u001b[39m infer_framework(model\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)\n",
+      "\u001b[0;31mValueError\u001b[0m: Could not load model tkempto1/hybrid-qa with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForQuestionAnswering'>, <class 'transformers.models.auto.modeling_tf_auto.TFAutoModelForQuestionAnswering'>). See the original errors:\n\nwhile loading with AutoModelForQuestionAnswering, an error is thrown:\nTraceback (most recent call last):\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/base.py\", line 283, in infer_framework_load_model\n    model = model_class.from_pretrained(model, **kwargs)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 563, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3471, in from_pretrained\n    raise ValueError(\nValueError: Incompatible safetensors file. File metadata is not ['pt', 'tf', 'flax', 'mlx'] but None\n\nwhile loading with TFAutoModelForQuestionAnswering, an error is thrown:\nTraceback (most recent call last):\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/base.py\", line 283, in infer_framework_load_model\n    model = model_class.from_pretrained(model, **kwargs)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 566, in from_pretrained\n    raise ValueError(\nValueError: Unrecognized configuration class <class 'transformers.models.mpt.configuration_mpt.MptConfig'> for this kind of AutoModel: TFAutoModelForQuestionAnswering.\nModel type should be one of AlbertConfig, BertConfig, CamembertConfig, ConvBertConfig, DebertaConfig, DebertaV2Config, DistilBertConfig, ElectraConfig, FlaubertConfig, FunnelConfig, GPTJConfig, LayoutLMv3Config, LongformerConfig, MobileBertConfig, MPNetConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoFormerConfig, XLMConfig, XLMRobertaConfig, XLNetConfig.\n\n\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Importing from remote\n",
+    "imported_pipe = pipeline(model=\"tkempto1/hybrid-qa\", trust_remote_code=True)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}