README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - rgoldstein/autotrain-data-movie-rationales
co2_eq_emissions:
  emissions: 5.912842155368309

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1734060527
• CO2 Emissions (in grams): 5.9128

Validation Metrics

• Loss: 0.198
• Accuracy: 0.934
• Precision: 0.937
• Recall: 0.931
• AUC: 0.983
• F1: 0.934

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/rgoldstein/autotrain-movie-rationales-1734060527

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("rgoldstein/autotrain-movie-rationales-1734060527", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("rgoldstein/autotrain-movie-rationales-1734060527", use_auth_token=True)

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

outputs = model(**inputs)