Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1062136864
CO2 Emissions (in grams): 141.11976199388627

Validation Metrics

Loss: 0.10147109627723694
Accuracy: 0.9859325979151907
Macro F1: 0.9715036017680622
Micro F1: 0.9859325979151907
Weighted F1: 0.9859070541468058
Macro Precision: 0.9732956651937184
Micro Precision: 0.9859325979151907
Weighted Precision: 0.9860574596777458
Macro Recall: 0.970199341807239
Micro Recall: 0.9859325979151907
Weighted Recall: 0.9859325979151907

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/Maxbnza/autotrain-address-training-1062136864

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)

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

outputs = model(**inputs)