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--- |
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language: eng |
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widget: |
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- text: "You can control cookies and tracking tools. To learn how to manage how we - and our vendors - use cookies and other tracking tools, please click here." |
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datasets: |
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- Adi2K/autonlp-data-Priv-Consent |
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--- |
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# Model |
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- Problem type: Binary Classification |
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- Model ID: 12592372 |
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## Validation Metrics |
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- Loss: 0.23033875226974487 |
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- Accuracy: 0.9138655462184874 |
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- Precision: 0.9087136929460581 |
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- Recall: 0.9201680672268907 |
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- AUC: 0.9690346726926065 |
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- F1: 0.9144050104384133 |
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## Usage |
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You can use cURL to access this model: |
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``` |
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$ 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 |
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``` |
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Or Python API: |
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``` |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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model = AutoModelForSequenceClassification.from_pretrained("Adi2K/autonlp-Priv-Consent-12592372", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("Adi2K/autonlp-Priv-Consent-12592372", use_auth_token=True) |
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inputs = tokenizer("I love AutoNLP", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
