Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 38319698
CO2 Emissions (in grams): 2.0318857468309206

Validation Metrics

Loss: 0.04461582377552986
Accuracy: 0.9909255898366606
Macro F1: 0.9951842095089771
Micro F1: 0.9909255898366606
Weighted F1: 0.9909493945587176
Macro Precision: 0.9942196531791907
Micro Precision: 0.9909255898366606
Weighted Precision: 0.9911878560263526
Macro Recall: 0.9962686567164181
Micro Recall: 0.9909255898366606
Weighted Recall: 0.9909255898366606

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/staceythompson/autonlp-new-text-classification-38319698

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("staceythompson/autonlp-new-text-classification-38319698", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("staceythompson/autonlp-new-text-classification-38319698", use_auth_token=True)

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

outputs = model(**inputs)