metadata

tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - dtam/autonlp-data-covid-fake-news
co2_eq_emissions: 123.79523392848652

Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 36839110
CO2 Emissions (in grams): 123.79523392848652

Validation Metrics

Loss: 0.17188367247581482
Accuracy: 0.9714953271028037
Precision: 0.9917948717948718
Recall: 0.9480392156862745
AUC: 0.9947452731092438
F1: 0.9694235588972432

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/dtam/autonlp-covid-fake-news-36839110

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("dtam/autonlp-covid-fake-news-36839110", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("dtam/autonlp-covid-fake-news-36839110", use_auth_token=True)

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

outputs = model(**inputs)