Hugging Face
Build, train and deploy state of the art models powered by the reference open source in machine learning.
Integrate the Hugging Face API with the Formatting API
Setup the Hugging Face API trigger to run a workflow which integrates with the Formatting API. Pipedream's integration platform allows you to integrate Hugging Face and Formatting remarkably fast. Free for developers.
Popular Hugging Face and Formatting Actions#
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.
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.
This task is well known to translate text from one language to another. See the docs.
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#
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}`,
},
})
},
})
Connect Formatting#
export default defineComponent({
async run({ steps, $ }) {
const text = ' Hello world! ';
return text.trim()
},
})