Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2440275732
CO2 Emissions (in grams): 2.3987

Validation Metrics

Loss: 0.466
Accuracy: 0.861
Macro F1: 0.455
Micro F1: 0.861
Weighted F1: 0.809
Macro Precision: 0.425
Micro Precision: 0.861
Weighted Precision: 0.764
Macro Recall: 0.491
Micro Recall: 0.861
Weighted Recall: 0.861

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/feralvam/autotrain-rustance-stance-xlmr-2440275732

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("feralvam/autotrain-rustance-stance-xlmr-2440275732", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("feralvam/autotrain-rustance-stance-xlmr-2440275732", use_auth_token=True)

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

outputs = model(**inputs)