with Transloadit and Hugging Face?
Emit new event when a Transloadit assembly finishes processing. See the documentation
Emit new event when a failed occurs during assembly processing. See the documentation
Cancel a running assembly by its assembly ID. Useful for aborting processing jobs that are no longer needed. 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 assembly to process files using a specified template and steps. 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
Retrieve the current status and results of an existing assembly. See the documentation
import Transloadit from 'transloadit';
export default defineComponent({
props: {
transloadit: {
type: "app",
app: "transloadit",
}
},
async run({ steps, $ }) {
const transloadit = new Transloadit({
authKey: this.transloadit.$auth.auth_key,
authSecret: this.transloadit.$auth.auth_secret
})
const options = {
params: {
steps: {
"encoded": {
"use": ":original",
"robot": "/video/encode",
"preset": "iphone-high"
},
"thumbed": {
"use": "encoded",
"robot": "/video/thumbs",
"count": 8
}
}
},
waitForCompletion: true,
}
return await transloadit.createAssembly(options);
},
})
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}`,
},
})
},
})