with Hugging Face and Postman?
Emit new event when a monitor run is completed. See the documentation
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
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.
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}`,
},
})
},
})
The Postman API enables you to automate tasks within your Postman collections, such as running collections, fetching and updating environments, and integrating your API development workflow into your CI/CD pipeline. Using Pipedream, you can harness this functionality to create custom workflows that trigger on various events, process data, and connect with other apps, extending the capabilities of your API testing and development processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
postman: {
type: "app",
app: "postman",
}
},
async run({steps, $}) {
const data = {
"auth_token": `=user:NNNNNN`,
}
return await axios($, {
url: `https://api.getpostman.com/me`,
headers: {
"X-Api-Key": `${this.postman.$auth.api_key}`,
},
data,
})
},
})