Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 781623992
CO2 Emissions (in grams): 3.9861818439722594

Validation Metrics

Loss: 0.1639203429222107
Accuracy: 0.9389179755671903
Macro F1: 0.9055551236566716
Micro F1: 0.9389179755671903
Weighted F1: 0.9379300009988988
Macro Precision: 0.9466951148514304
Micro Precision: 0.9389179755671903
Weighted Precision: 0.9435523016000105
Macro Recall: 0.8818551804621082
Micro Recall: 0.9389179755671903
Weighted Recall: 0.9389179755671903

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/crcb/autotrain-carer_new-781623992

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-carer_new-781623992", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-carer_new-781623992", use_auth_token=True)

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

outputs = model(**inputs)