@huggingface/tasks
Version:
List of ML tasks for huggingface.co/tasks
99 lines (98 loc) • 3.17 kB
JavaScript
const taskData = {
datasets: [
{
description: "A widely used dataset used to benchmark multiple variants of text classification.",
id: "nyu-mll/glue",
},
{
description: "A text classification dataset used to benchmark natural language inference models",
id: "stanfordnlp/snli",
},
],
demo: {
inputs: [
{
label: "Input",
content: "I love Hugging Face!",
type: "text",
},
],
outputs: [
{
type: "chart",
data: [
{
label: "POSITIVE",
score: 0.9,
},
{
label: "NEUTRAL",
score: 0.1,
},
{
label: "NEGATIVE",
score: 0.0,
},
],
},
],
},
metrics: [
{
description: "",
id: "accuracy",
},
{
description: "",
id: "recall",
},
{
description: "",
id: "precision",
},
{
description: "The F1 metric is the harmonic mean of the precision and recall. It can be calculated as: F1 = 2 * (precision * recall) / (precision + recall)",
id: "f1",
},
],
models: [
{
description: "A robust model trained for sentiment analysis.",
id: "distilbert/distilbert-base-uncased-finetuned-sst-2-english",
},
{
description: "A sentiment analysis model specialized in financial sentiment.",
id: "ProsusAI/finbert",
},
{
description: "A sentiment analysis model specialized in analyzing tweets.",
id: "cardiffnlp/twitter-roberta-base-sentiment-latest",
},
{
description: "A model that can classify languages.",
id: "papluca/xlm-roberta-base-language-detection",
},
{
description: "A model that can classify text generation attacks.",
id: "meta-llama/Prompt-Guard-86M",
},
],
spaces: [
{
description: "An application that can classify financial sentiment.",
id: "IoannisTr/Tech_Stocks_Trading_Assistant",
},
{
description: "A dashboard that contains various text classification tasks.",
id: "miesnerjacob/Multi-task-NLP",
},
{
description: "An application that analyzes user reviews in healthcare.",
id: "spacy/healthsea-demo",
},
],
summary: "Text Classification is the task of assigning a label or class to a given text. Some use cases are sentiment analysis, natural language inference, and assessing grammatical correctness.",
widgetModels: ["distilbert/distilbert-base-uncased-finetuned-sst-2-english"],
youtubeId: "leNG9fN9FQU",
};
export default taskData;