Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 751422974
CO2 Emissions (in grams): 2.370895196595982

Validation Metrics

Loss: 0.15362708270549774
Accuracy: 0.9345549738219895
Macro F1: 0.9016011681330569
Micro F1: 0.9345549738219895
Weighted F1: 0.9345413976263288
Macro Precision: 0.9032333514618506
Micro Precision: 0.9345549738219895
Weighted Precision: 0.9345804677958041
Macro Recall: 0.9001021129974442
Micro Recall: 0.9345549738219895
Weighted Recall: 0.9345549738219895

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-emo_carer_nojoylove-751422974

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-emo_carer_nojoylove-751422974", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-emo_carer_nojoylove-751422974", use_auth_token=True)

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

outputs = model(**inputs)