README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Aimendo/autonlp-data-triage
co2_eq_emissions: 7.989144645413398

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 35248482
• CO2 Emissions (in grams): 7.989144645413398

Validation Metrics

• Loss: 0.13783401250839233
• Accuracy: 0.9728654124457308
• Macro F1: 0.949537871674076
• Micro F1: 0.9728654124457308
• Weighted F1: 0.9732422812610365
• Macro Precision: 0.9380372699332605
• Micro Precision: 0.9728654124457308
• Weighted Precision: 0.974548513256663
• Macro Recall: 0.9689346153591594
• Micro Recall: 0.9728654124457308
• Weighted Recall: 0.9728654124457308

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/Aimendo/autonlp-triage-35248482

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Aimendo/autonlp-triage-35248482", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Aimendo/autonlp-triage-35248482", use_auth_token=True)

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

outputs = model(**inputs)