Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 672119800
CO2 Emissions (in grams): 2011.6528745969179

Validation Metrics

Loss: 0.9570887088775635
Accuracy: 0.5830708333333333
Macro F1: 0.5789149828346194
Micro F1: 0.5830708333333333
Weighted F1: 0.5789149828346193
Macro Precision: 0.5808338093704437
Micro Precision: 0.5830708333333333
Weighted Precision: 0.5808338093704437
Macro Recall: 0.5830708333333334
Micro Recall: 0.5830708333333333
Weighted Recall: 0.5830708333333333

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/YXHugging/autotrain-xlm-roberta-base-reviews-672119800

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119800", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119800", use_auth_token=True)

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

outputs = model(**inputs)