metadata

language: eng
widget:
  - text: >-
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datasets:
  - Adi2K/autonlp-data-Priv-Consent

Model

Problem type: Binary Classification
Model ID: 12592372

Validation Metrics

Loss: 0.23033875226974487
Accuracy: 0.9138655462184874
Precision: 0.9087136929460581
Recall: 0.9201680672268907
AUC: 0.9690346726926065
F1: 0.9144050104384133

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/Adi2K/autonlp-Priv-Consent-12592372

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Adi2K/autonlp-Priv-Consent-12592372", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Adi2K/autonlp-Priv-Consent-12592372", use_auth_token=True)

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

outputs = model(**inputs)