Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 672119801
CO2 Emissions (in grams): 999.5670927087938

Validation Metrics

Loss: 0.9767692685127258
Accuracy: 0.5738333333333333
Macro F1: 0.5698748846905103
Micro F1: 0.5738333333333333
Weighted F1: 0.5698748846905102
Macro Precision: 0.5734242161804903
Micro Precision: 0.5738333333333333
Weighted Precision: 0.5734242161804902
Macro Recall: 0.5738333333333333
Micro Recall: 0.5738333333333333
Weighted Recall: 0.5738333333333333

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-672119801

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119801", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119801", use_auth_token=True)

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

outputs = model(**inputs)