README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - lucafrost/autotrain-data-claimcoherence-n500
co2_eq_emissions:
  emissions: 0.002315234498119706

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 39483103025
• CO2 Emissions (in grams): 0.0023

Validation Metrics

• Loss: 0.517
• Accuracy: 0.780
• Precision: 0.804
• Recall: 0.804
• AUC: 0.817
• F1: 0.804

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/lucafrost/autotrain-claimcoherence-n500-39483103025

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("lucafrost/autotrain-claimcoherence-n500-39483103025", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lucafrost/autotrain-claimcoherence-n500-39483103025", use_auth_token=True)

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

outputs = model(**inputs)