metadata

tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - YXHugging/autotrain-data-xlm-roberta-base-reviews
co2_eq_emissions: 1019.0229633198007

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 672119797
CO2 Emissions (in grams): 1019.0229633198007

Validation Metrics

Loss: 0.9898674488067627
Accuracy: 0.5688083333333334
Macro F1: 0.5640966271895913
Micro F1: 0.5688083333333334
Weighted F1: 0.5640966271895913
Macro Precision: 0.5673737438011194
Micro Precision: 0.5688083333333334
Weighted Precision: 0.5673737438011194
Macro Recall: 0.5688083333333334
Micro Recall: 0.5688083333333334
Weighted Recall: 0.5688083333333334

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-672119797

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119797", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119797", use_auth_token=True)

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

outputs = model(**inputs)