autotrain-xlm-roberta-base-reviews-672119798 – AI Model by YXHugging | AlphaNeural AI

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YXHugging/
autotrain-xlm-roberta-base-reviews-672119798

like

0

text-classification

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

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 672119798
CO2 Emissions (in grams): 1013.8825767332373

Validation Metrics

Loss: 0.9646632075309753
Accuracy: 0.5789333333333333
Macro F1: 0.5775792001871465
Micro F1: 0.5789333333333333
Weighted F1: 0.5775792001871465
Macro Precision: 0.5829444191847423
Micro Precision: 0.5789333333333333
Weighted Precision: 0.5829444191847424
Macro Recall: 0.5789333333333333
Micro Recall: 0.5789333333333333
Weighted Recall: 0.5789333333333333

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-672119798

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119798", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119798", use_auth_token=True)

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

outputs = model(**inputs)