Open Paws This workflow corresponds to n8n.io template #5587 — we link there as the canonical source.
This workflow follows the Execute Workflow Trigger → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "DTAMHkTadEbS2Xsv",
"name": "Scoring Text (Sub-Workflow)",
"tags": [],
"nodes": [
{
"id": "a81f2018-ff9d-473e-80d3-c0305b297a58",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-600,
-20
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "text"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "a857fd97-8a53-4988-8bf0-dd7425725ca1",
"name": "Get Performance Score",
"type": "n8n-nodes-base.httpRequest",
"position": [
-340,
-120
],
"parameters": {
"url": "INSERT_YOUR_ENDPOINT_URL_HERE",
"method": "POST",
"options": {},
"jsonBody": "={\n \"inputs\": {{ JSON.stringify($json.text) }},\n \"parameters\": {}\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
}
]
},
"nodeCredentialType": "huggingFaceApi"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
},
"huggingFaceApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "f4904bd1-bedb-46d9-84e3-4dcd11fbe7e1",
"name": "Get Preference Score",
"type": "n8n-nodes-base.httpRequest",
"position": [
-340,
80
],
"parameters": {
"url": "INSERT_YOUR_ENDPOINT_URL_HERE",
"method": "POST",
"options": {},
"jsonBody": "={\n \"inputs\": {{ JSON.stringify($json.text) }},\n \"parameters\": {}\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
}
]
},
"nodeCredentialType": "huggingFaceApi"
},
"credentials": {
"huggingFaceApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "33699ccd-31f2-4bca-81b8-ad00ca2263ba",
"name": "Set Performance Score",
"type": "n8n-nodes-base.set",
"position": [
-120,
-120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1ba08ac6-99c3-4e2f-ba46-7f570fa35d10",
"name": "performance_score",
"type": "number",
"value": "={{ $json.score }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "641838ba-ca68-4a0e-b9e0-9be37e4e8c32",
"name": "Get Preference Score2",
"type": "n8n-nodes-base.set",
"position": [
-120,
80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1ba08ac6-99c3-4e2f-ba46-7f570fa35d10",
"name": "preference_score",
"type": "number",
"value": "={{ $json.score }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3e215fed-abd6-43c0-b736-deec0d97c5fe",
"name": "Set Output",
"type": "n8n-nodes-base.set",
"position": [
480,
-20
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "e1f63dc1-ad98-4a18-97f7-9f6053201875",
"name": "performance_score",
"type": "number",
"value": "={{ $json.data[0].performance_score }}"
},
{
"id": "928054ae-545d-43a8-a017-44dcf2bef749",
"name": "preference_score",
"type": "number",
"value": "={{ $json.data[1].preference_score }}"
},
{
"id": "22adbb02-16f4-426d-a2da-c9c18e5fdefe",
"name": "text",
"type": "string",
"value": "={{ $('When Executed by Another Workflow').item.json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5363b1e5-5045-4a8d-bade-f31e7b44c4b3",
"name": "Merge Branches",
"type": "n8n-nodes-base.merge",
"position": [
100,
-20
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "eda4c1b6-3c6a-4c00-8b35-d7a8ba3d3db9",
"name": "Create Single Item",
"type": "n8n-nodes-base.aggregate",
"position": [
280,
-20
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "92b8d2e1-ea97-404f-abcc-997158c4ad3d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1260,
-180
],
"parameters": {
"width": 560,
"height": 460,
"content": "## Sub-Workflow Setup: Text Scoring Models\n\nTo use the scoring sub-workflow, you\u2019ll need to deploy two Hugging Face regression models as inference endpoints:\n\n1. [**Animal Advocate Preference Prediction (Longform)**](https://huggingface.co/open-paws/animal_advocate_preference_prediction_longform) \n2. [**Text Performance Prediction (Longform)**](https://huggingface.co/open-paws/text_performance_prediction_longform)\n\n### Steps:\n\n1. Visit each model\u2019s Hugging Face page.\n2. Click the **\"Deploy\"** button to create an **inference endpoint** for each model.\n3. Once deployed, copy the **Inference Endpoint URL** for each model.\n4. Add the URLs to the appropriate fields in the n8n sub-workflow where indicated and add your access token to the Hugging Face API credential type for the HTTP nodes.\n\n> \u26a0\ufe0f Make sure your Hugging Face account has the necessary permissions to create inference endpoints and that your access token has API access enabled.\n"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "f7607f90-ee08-40f1-9565-0e6caca0c491",
"connections": {
"Merge Branches": {
"main": [
[
{
"node": "Create Single Item",
"type": "main",
"index": 0
}
]
]
},
"Create Single Item": {
"main": [
[
{
"node": "Set Output",
"type": "main",
"index": 0
}
]
]
},
"Get Preference Score": {
"main": [
[
{
"node": "Get Preference Score2",
"type": "main",
"index": 0
}
]
]
},
"Get Performance Score": {
"main": [
[
{
"node": "Set Performance Score",
"type": "main",
"index": 0
}
]
]
},
"Get Preference Score2": {
"main": [
[
{
"node": "Merge Branches",
"type": "main",
"index": 1
}
]
]
},
"Set Performance Score": {
"main": [
[
{
"node": "Merge Branches",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Get Performance Score",
"type": "main",
"index": 0
},
{
"node": "Get Preference Score",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpHeaderAuthhuggingFaceApi
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About this workflow
This sub-workflow uses two custom Hugging Face regression models from Open Paws to evaluate and predict the real-world performance and advocacy alignment of text content. It’s designed to support animal advocacy organizations in optimizing their messaging across platforms like…
Source: https://n8n.io/workflows/5587/ — original creator credit. Request a take-down →
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