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Fauzan
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autonlp-judulberita-32517788

Text Classification
Transformers
PyTorch
Enawené-Nawé
bert
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autonlp-judulberita-32517788 / README.md
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metadata
tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Fauzan/autonlp-data-judulberita
co2_eq_emissions: 0.9413042739759596

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 32517788
  • CO2 Emissions (in grams): 0.9413042739759596

Validation Metrics

  • Loss: 0.32112351059913635
  • Accuracy: 0.8641304347826086
  • Precision: 0.8055555555555556
  • Recall: 0.8405797101449275
  • AUC: 0.9493383742911153
  • F1: 0.8226950354609929

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/Fauzan/autonlp-judulberita-32517788

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Fauzan/autonlp-judulberita-32517788", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Fauzan/autonlp-judulberita-32517788", use_auth_token=True)

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

outputs = model(**inputs)