georgedavila / bart-large-mnli-classifier
Zero-shot classifier which classifies text into categories of your choosing. Returns a dictionary of the most likely class and all class likelihoods.
- Public
- 3.6K runs
-
T4
- GitHub
Prediction
georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213dbIDxltgkejb32yjrdsnoiym7jtjeiStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- labels
- Cooking Instructions, Question about Astronomy
- text2classify
- how big is the galaxy?
{ "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", { input: { labels: "Cooking Instructions, Question about Astronomy", text2classify: "how big is the galaxy?" } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", input={ "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", "input": { "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "allClasses": { "Cooking Instructions": 0.01837284117937088, "Question about Astronomy": 0.9816271662712097 }, "mostLikelyClass": "Question about Astronomy" }{ "completed_at": "2024-01-03T01:32:14.822533Z", "created_at": "2024-01-03T01:32:08.445212Z", "data_removed": false, "error": null, "id": "xltgkejb32yjrdsnoiym7jtjei", "input": { "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" }, "logs": null, "metrics": { "predict_time": 6.363915, "total_time": 6.377321 }, "output": { "allClasses": { "Cooking Instructions": 0.01837284117937088, "Question about Astronomy": 0.9816271662712097 }, "mostLikelyClass": "Question about Astronomy" }, "started_at": "2024-01-03T01:32:08.458618Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xltgkejb32yjrdsnoiym7jtjei", "cancel": "https://api.replicate.com/v1/predictions/xltgkejb32yjrdsnoiym7jtjei/cancel" }, "version": "d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db" }Generated inPrediction
georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213dbIDr2p7wyrbtp7angxbhjgc4fmvhiStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- labels
- Directions, Food, Car Advice
- text2classify
- How do i get to the mall?
{ "labels": "Directions, Food, Car Advice", "text2classify": "How do i get to the mall?" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", { input: { labels: "Directions, Food, Car Advice", text2classify: "How do i get to the mall?" } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", input={ "labels": "Directions, Food, Car Advice", "text2classify": "How do i get to the mall?" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", "input": { "labels": "Directions, Food, Car Advice", "text2classify": "How do i get to the mall?" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "allClasses": { "Food": 0.018019305542111397, "Car Advice": 0.058397695422172546, "Directions": 0.9235830307006836 }, "mostLikelyClass": "Directions" }{ "completed_at": "2024-01-03T02:05:24.181237Z", "created_at": "2024-01-03T02:05:20.076776Z", "data_removed": false, "error": null, "id": "r2p7wyrbtp7angxbhjgc4fmvhi", "input": { "labels": "Directions, Food, Car Advice", "text2classify": "How do i get to the mall?" }, "logs": null, "metrics": { "predict_time": 4.085678, "total_time": 4.104461 }, "output": { "allClasses": { "Food": 0.018019305542111397, "Car Advice": 0.058397695422172546, "Directions": 0.9235830307006836 }, "mostLikelyClass": "Directions" }, "started_at": "2024-01-03T02:05:20.095559Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/r2p7wyrbtp7angxbhjgc4fmvhi", "cancel": "https://api.replicate.com/v1/predictions/r2p7wyrbtp7angxbhjgc4fmvhi/cancel" }, "version": "d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db" }Generated inPrediction
georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213dbIDwwjcl6rbtjkwtyy43knkb462fmStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- labels
- Cooking Instructions, Question about Astronomy
- text2classify
- Add salt to boiling water to prevent pasta from sticking together
{ "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "Add salt to boiling water to prevent pasta from sticking together" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", { input: { labels: "Cooking Instructions, Question about Astronomy", text2classify: "Add salt to boiling water to prevent pasta from sticking together" } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", input={ "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "Add salt to boiling water to prevent pasta from sticking together" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", "input": { "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "Add salt to boiling water to prevent pasta from sticking together" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "allClasses": { "Cooking Instructions": 0.9597448110580444, "Question about Astronomy": 0.04025513678789139 }, "mostLikelyClass": "Cooking Instructions" }{ "completed_at": "2024-01-03T01:30:08.099531Z", "created_at": "2024-01-03T01:28:02.416962Z", "data_removed": false, "error": null, "id": "wwjcl6rbtjkwtyy43knkb462fm", "input": { "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "Add salt to boiling water to prevent pasta from sticking together" }, "logs": "config.json: 0%| | 0.00/1.15k [00:00<?, ?B/s]\nconfig.json: 100%|██████████| 1.15k/1.15k [00:00<00:00, 5.85MB/s]\nmodel.safetensors: 0%| | 0.00/1.63G [00:00<?, ?B/s]\nmodel.safetensors: 1%| | 10.5M/1.63G [00:00<00:39, 41.3MB/s]\nmodel.safetensors: 2%|▏ | 31.5M/1.63G [00:00<00:15, 100MB/s] \nmodel.safetensors: 3%|▎ | 52.4M/1.63G [00:00<00:12, 129MB/s]\nmodel.safetensors: 5%|▍ | 73.4M/1.63G [00:00<00:11, 131MB/s]\nmodel.safetensors: 6%|▌ | 94.4M/1.63G [00:00<00:10, 140MB/s]\nmodel.safetensors: 7%|▋ | 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{ "Cooking Instructions": 0.9597448110580444, "Question about Astronomy": 0.04025513678789139 }, "mostLikelyClass": "Cooking Instructions" }, "started_at": "2024-01-03T01:29:55.457965Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wwjcl6rbtjkwtyy43knkb462fm", "cancel": "https://api.replicate.com/v1/predictions/wwjcl6rbtjkwtyy43knkb462fm/cancel" }, "version": "d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db" }Generated inconfig.json: 0%| | 0.00/1.15k [00:00<?, ?B/s] config.json: 100%|██████████| 1.15k/1.15k [00:00<00:00, 5.85MB/s] model.safetensors: 0%| | 0.00/1.63G [00:00<?, ?B/s] model.safetensors: 1%| | 10.5M/1.63G [00:00<00:39, 41.3MB/s] model.safetensors: 2%|▏ | 31.5M/1.63G [00:00<00:15, 100MB/s] model.safetensors: 3%|▎ | 52.4M/1.63G [00:00<00:12, 129MB/s] model.safetensors: 5%|▍ | 73.4M/1.63G [00:00<00:11, 131MB/s] model.safetensors: 6%|▌ | 94.4M/1.63G [00:00<00:10, 140MB/s] model.safetensors: 7%|▋ | 115M/1.63G [00:00<00:09, 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georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213dbIDxltgkejb32yjrdsnoiym7jtjeiStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- labels
- Cooking Instructions, Question about Astronomy
- text2classify
- how big is the galaxy?
{ "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", { input: { labels: "Cooking Instructions, Question about Astronomy", text2classify: "how big is the galaxy?" } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", input={ "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/bart-large-mnli-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/bart-large-mnli-classifier:d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db", "input": { "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "allClasses": { "Cooking Instructions": 0.01837284117937088, "Question about Astronomy": 0.9816271662712097 }, "mostLikelyClass": "Question about Astronomy" }{ "completed_at": "2024-01-03T01:32:14.822533Z", "created_at": "2024-01-03T01:32:08.445212Z", "data_removed": false, "error": null, "id": "xltgkejb32yjrdsnoiym7jtjei", "input": { "labels": "Cooking Instructions, Question about Astronomy", "text2classify": "how big is the galaxy?" }, "logs": null, "metrics": { "predict_time": 6.363915, "total_time": 6.377321 }, "output": { "allClasses": { "Cooking Instructions": 0.01837284117937088, "Question about Astronomy": 0.9816271662712097 }, "mostLikelyClass": "Question about Astronomy" }, "started_at": "2024-01-03T01:32:08.458618Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xltgkejb32yjrdsnoiym7jtjei", "cancel": "https://api.replicate.com/v1/predictions/xltgkejb32yjrdsnoiym7jtjei/cancel" }, "version": "d929487cf059f96a17752ebe55ae5a85b2e8be6cd627078e49c6caa2fd4213db" }Generated in
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