README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - msamogh/autonlp-data-cai-out-of-scope
co2_eq_emissions: 0.49924480682533606

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 649919112
• CO2 Emissions (in grams): 0.49924480682533606

Validation Metrics

• Loss: 0.49354293942451477
• Accuracy: 0.8064516129032258
• Precision: 0.8181818181818182
• Recall: 0.9
• AUC: 0.8689393939393939
• F1: 0.8571428571428572

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-649919112

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919112", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919112", use_auth_token=True)

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

outputs = model(**inputs)