Jeska
/

autonlp-vaccinfaq-22144706

Text Classification

Trained with AutoTrain

Inference Endpoints

Model card Files Files and versions Community

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 22144706
CO2 Emissions (in grams): 27.135492487925884

Validation Metrics

Loss: 1.81697416305542
Accuracy: 0.6377269139700079
Macro F1: 0.5181293370145044
Micro F1: 0.6377269139700079
Weighted F1: 0.631117826235572
Macro Precision: 0.5371452512845428
Micro Precision: 0.6377269139700079
Weighted Precision: 0.6655055695465463
Macro Recall: 0.5609328178925124
Micro Recall: 0.6377269139700079
Weighted Recall: 0.6377269139700079

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/Jeska/autonlp-vaccinfaq-22144706

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Jeska/autonlp-vaccinfaq-22144706", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Jeska/autonlp-vaccinfaq-22144706", 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 Jeska/autonlp-vaccinfaq-22144706