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Ajay191191
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autonlp-Test-530014983

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Inference Endpoints
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autonlp-Test-530014983 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Ajay191191/autonlp-data-Test
co2_eq_emissions: 55.10196329868386

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 530014983
  • CO2 Emissions (in grams): 55.10196329868386

Validation Metrics

  • Loss: 0.23171618580818176
  • Accuracy: 0.9298837645294338
  • Precision: 0.9314414866901055
  • Recall: 0.9279459594696022
  • AUC: 0.979447403984557
  • F1: 0.9296904373981703

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/Ajay191191/autonlp-Test-530014983

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Ajay191191/autonlp-Test-530014983", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Ajay191191/autonlp-Test-530014983", use_auth_token=True)

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

outputs = model(**inputs)