Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 2757281767
- CO2 Emissions (in grams): 2.0553
Validation Metrics
- Loss: 0.002
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
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 AutoTrain"}' https://api-inference.huggingface.co/models/Eip/autotrain-real-vs-fake-news-2757281767
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Eip/autotrain-real-vs-fake-news-2757281767", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Eip/autotrain-real-vs-fake-news-2757281767", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 15