Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 23044997
CO2 Emissions (in grams): 4.819872182577655

Validation Metrics

Loss: 0.001594889909029007
Accuracy: 0.9997478885667465
Macro F1: 0.9991190902836993
Micro F1: 0.9997478885667465
Weighted F1: 0.9997476735518704
Macro Precision: 0.9998014460161265
Micro Precision: 0.9997478885667465
Weighted Precision: 0.9997479944069787
Macro Recall: 0.9984426545713851
Micro Recall: 0.9997478885667465
Weighted Recall: 0.9997478885667465

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/Monsia/autonlp-tweets-classification-23044997

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Monsia/autonlp-tweets-classification-23044997", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Monsia/autonlp-tweets-classification-23044997", use_auth_token=True)

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

outputs = model(**inputs)