kyleinincubated
/

autonlp-cat33-624317932

Text Classification

Trained with AutoTrain

Inference Endpoints

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 624317932
CO2 Emissions (in grams): 1.2490471218570545

Validation Metrics

Loss: 0.5579860806465149
Accuracy: 0.8717391304347826
Macro F1: 0.6625543939916455
Micro F1: 0.8717391304347827
Weighted F1: 0.8593303742671491
Macro Precision: 0.7214757380849891
Micro Precision: 0.8717391304347826
Weighted Precision: 0.8629042654788023
Macro Recall: 0.6540187758140144
Micro Recall: 0.8717391304347826
Weighted Recall: 0.8717391304347826

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/kyleinincubated/autonlp-cat33-624317932

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("kyleinincubated/autonlp-cat33-624317932", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-cat33-624317932", use_auth_token=True)

inputs = tokenizer("I love AutoNLP", return_tensors="pt")

outputs = model(**inputs)

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Inference Examples

Text Classification

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Dataset used to train kyleinincubated/autonlp-cat33-624317932