Labels Mapping

0 non event

1 flood

2 dust storm

3 traffic accident

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2783082152
CO2 Emissions (in grams): 0.0102

Validation Metrics

Loss: 0.149
Accuracy: 0.949
Macro F1: 0.946
Micro F1: 0.949
Weighted F1: 0.949
Macro Precision: 0.942
Micro Precision: 0.949
Weighted Precision: 0.950
Macro Recall: 0.951
Micro Recall: 0.949
Weighted Recall: 0.949

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 AutoTrain"}' https://api-inference.huggingface.co/models/MMars/autotrain-camelbert-mix_flodusta-2783082152

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MMars/camelbert-mix_flodusta", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("MMars/camelbert-mix_flodusta", use_auth_token=True)

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

outputs = model(**inputs)