YAML Metadata
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Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 29906863
- CO2 Emissions (in grams): 3.8624397961432106
Validation Metrics
- Loss: 0.2536192238330841
- Accuracy: 0.9084807809640024
- Precision: 0.9421172886519421
- Recall: 0.9435545385202135
- AUC: 0.9517288050454876
- F1: 0.9428353658536586
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/rohansingh/autonlp-Fake-news-detection-system-29906863
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("rohansingh/autonlp-Fake-news-detection-system-29906863", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("rohansingh/autonlp-Fake-news-detection-system-29906863", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
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