README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - msamogh/autonlp-data-cai-out-of-scope
co2_eq_emissions: 2.438401649319185

What do the class labels mean?

0 - out of scope 1 - in scope

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 649919116
• CO2 Emissions (in grams): 2.438401649319185

Validation Metrics

• Loss: 0.5314930081367493
• Accuracy: 0.7526881720430108
• Precision: 0.8490566037735849
• Recall: 0.75
• AUC: 0.8515151515151514
• F1: 0.7964601769911505

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/msamogh/autonlp-cai-out-of-scope-649919116

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919116", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919116", use_auth_token=True)

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

outputs = model(**inputs)