metadata

language: en
widget:
  - text: 'take our country back. Stop the steal! #trump2020'
datasets:
  - sefaozalpadl/autonlp-data-stop_the_steal_relevancy_analysis
co2_eq_emissions: 0.6503024714880831

Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 23995359
CO2 Emissions (in grams): 0.6503024714880831

Validation Metrics

Loss: 0.49598395824432373
Accuracy: 0.7907801418439716
Precision: 0.7841726618705036
Recall: 0.7898550724637681
AUC: 0.8774154589371981
F1: 0.7870036101083032

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/sefaozalpadl/stop_the_steal_relevancy_analysis-binary

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sefaozalpadl/stop_the_steal_relevancy_analysis-binary", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sefaozalpadl/stop_the_steal_relevancy_analysis-binary", use_auth_token=True)

inputs = tokenizer("take our country back. Stop the steal! #trump2020", return_tensors="pt")

outputs = model(**inputs)