with Cohere and Hugging Face?
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 action makes a prediction about which label fits the specified text inputs best. 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
This task is well known to translate text from one language to another. See the docs
The Cohere API enables the development of apps with advanced natural language understanding capabilities. Utilizing machine learning, it can help with tasks like text generation, summarization, sentiment analysis, and more. On Pipedream, you can seamlessly integrate Cohere's features into serverless workflows, triggering actions based on text input, processing large volumes of data, or even enhancing chatbots with more human-like responses.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cohere_platform: {
type: "app",
app: "cohere_platform",
}
},
async run({steps, $}) {
const data = {
"text": `Tokenize this!`,
}
return await axios($, {
method: "post",
url: `https://api.cohere.ai/small/tokenize`,
headers: {
Authorization: `Bearer ${this.cohere_platform.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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}`,
},
})
},
})