with Microsoft Sharepoint Online and Hugging Face?
Create a new item in Microsoft Sharepoint. 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
Create a new list in Microsoft Sharepoint. See the documentation
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs
Download a Microsoft Sharepoint file to the /tmp directory. See the documentation
The Microsoft SharePoint Online API opens up a world of possibilities for integrating your SharePoint content with other services and automating tasks. With Pipedream, you can harness this API to create powerful workflows that trigger on events in SharePoint, manipulate data, and connect with countless other apps. Create custom automations for document management, team notifications, content moderation, and more, without the need to manage infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sharepoint: {
type: "app",
app: "sharepoint",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.sharepoint.$auth.oauth_access_token}`,
},
})
},
})
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}`,
},
})
},
})