ExploreTemplatesDocsPricingBlogCommunity
Sign in
Sign up

Hugging Face

Build, train and deploy state of the art models powered by the reference open source in machine learning.

Explore
/
Apps
/
Hugging Face
/
PostgreSQL

Integrate the Hugging Face API with the PostgreSQL API

Setup the Hugging Face API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate Hugging Face and PostgreSQL remarkably fast. Free for developers.

Popular Ways to Connect Hugging Face with PostgreSQL

Document Question Answering with Hugging Face API on New Column from PostgreSQL API
PostgreSQL + Hugging Face
 
Try it
Document Question Answering with Hugging Face API on New or Updated Row from PostgreSQL API
PostgreSQL + Hugging Face
 
Try it
Document Question Answering with Hugging Face API on New Row Custom Query from PostgreSQL API
PostgreSQL + Hugging Face
 
Try it
Document Question Answering with Hugging Face API on New Row from PostgreSQL API
PostgreSQL + Hugging Face
 
Try it
Document Question Answering with Hugging Face API on New Table from PostgreSQL API
PostgreSQL + Hugging Face
 
Try it

Popular Hugging Face and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
Try it
New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
Try it
New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
Try it
New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
Try it
New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
Try it

Popular Hugging Face and PostgreSQL Actions

Document Question Answering with the Hugging Face API

Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs.

 
Try it
Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
Try it
Image Classification with the Hugging Face API

This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.

 
Try it
Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
Try it
Language Translation with the Hugging Face API

This task is well known to translate text from one language to another. See the docs.

 
Try it

Overview of Hugging Face

The Hugging Face API provides access to a vast range of machine learning models, primarily for natural language processing (NLP) tasks like text classification, translation, summarization, and question answering. It lets you leverage pre-trained models and fine-tune them on your data. Using the API within Pipedream, you can automate workflows that involve language processing, integrate AI insights into your apps, or respond to events with AI-generated content.

Connect Hugging Face

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hugging_face: {
      type: "app",
      app: "hugging_face",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://huggingface.co/api/whoami-v2`,
      headers: {
        Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
      },
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
Pipedream, Inc. — San Francisco, CA
AboutTwitterDocsCommunityTermsPrivacy