metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: >-
      Neither this act nor any other act relating to said Cherokee Indians of
      Robeson County shall be construed so as to impose on said Indians any
      powers, privileges, rights or immunities, or
  - text: >-
      That Section one hundred and twenty-two eightythree of the General
      Statutes of North Carolina is hereby amended by striking out the word
      insane in the catch line and in lines two, four, nine and fifteen and
      inserting in lieu thereof the words mentally disordered.
datasets:
  - biglam/on_the_books
co2_eq_emissions:
  emissions: 0.2641096478393395
license: mit
library_name: transformers

Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 64771135885
CO2 Emissions (in grams): 0.2641

Validation Metrics

Loss: 0.057
Accuracy: 0.986
Precision: 0.988
Recall: 0.992
AUC: 0.998
F1: 0.990

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/davanstrien/autotrain-testblog-64771135885

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("davanstrien/autotrain-testblog-64771135885", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("davanstrien/autotrain-testblog-64771135885", use_auth_token=True)

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

outputs = model(**inputs)