metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - alecmullen/autonlp-data-group-classification
co2_eq_emissions: 0.4362732160754736

Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 441411446
CO2 Emissions (in grams): 0.4362732160754736

Validation Metrics

Loss: 0.7598486542701721
Accuracy: 0.8222222222222222
Macro F1: 0.2912091747693842
Micro F1: 0.8222222222222222
Weighted F1: 0.7707160863181806
Macro Precision: 0.29631463146314635
Micro Precision: 0.8222222222222222
Weighted Precision: 0.7341339689524508
Macro Recall: 0.30174603174603176
Micro Recall: 0.8222222222222222
Weighted Recall: 0.8222222222222222

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/alecmullen/autonlp-group-classification-441411446

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("alecmullen/autonlp-group-classification-441411446", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("alecmullen/autonlp-group-classification-441411446", use_auth_token=True)

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

outputs = model(**inputs)